CROSS-REFERENCE TO RELATED APPLICATIONSThis non-provisional application claims priority to U.S. application No. 62/123,165 filed on Nov. 10, 2014.
STATEMENT REGARDING FEDERALLY SPONSORED RESEARCH AND DEVELOPMENTNot applicable.
REFERENCE TO SEQUENCE LISTING APPENDIXNot applicable.
BACKGROUND OF INVENTIONFIELD OF THE INVENTION/TECHNICAL FIELDThe disclosure herein relates to the specific field of exercise equipment, and more precisely, the technical area of free weights, and lastly, the technological discipline of data sensing, monitoring, distribution.
RELATED ART OF THE INVENTIONIn general, people have sought to exercise efficiently and effectively. Specifically, some have sought to improve the techniques associated with lifting weights. Particular emphasis on weight lifting technique for specific types of complex weight lifts (e.g., Olympic lifts) is common practice. Moreover, tracking and measuring the appropriate weight lifting technique for different types of lifts is known.
The US patent publication US 2002/0128127 (“the '127 publication”) discloses a dumbbell with a means to detect and show physical conditions of the operator. However, the '127 publication does not disclose a means to detect the dumbbell position, nor does it disclose a means to measure dumbbell bar strain. Also, the '127 publication does not disclose an interactive system for performance improvement and measurements.
The WIPO patent publication 2009/013679 (“the '679 publication”) discloses a dumbbell device for physical training. However, the '679 publication does not disclose a means to measure strain on the barbell when weights are added to the barbell, nor does the '679 publication disclose a means to calculate strain related parameters such as weight and peak power. Finally, the '679 publication does not disclose a means to relate progress or improvement to strain related parameters.
The U.S. Pat. No. 9,061,170 (“the '170 patent”) discloses an apparatus for the assisted performance of a fitness exercise. However, the '170 patent does not disclose a means to attach strain gauges to a barbell nor, does the '170 patent disclose a networked system to distribute relevant performance or measured data.
The US patent publication 2013/0288859 (“the '859 publication”) discloses have a free weight monitoring system. However, '859 publication does not disclose a means to attach strain gauges to a barbell on the exterior of the barbell, nor the '859 publication disclose a means to integrate strain gauge related data with accelerometer, or ultra-wide-band (UWB) positioning type data.
DESCRIPTION OF THE FIGURESFIG. 1 is a diagram view of a networked distribution system and a local exercise system.
FIG. 2 discloses a diagram view of a local exercise system in a putative setting, comprising one or more base station that monitors barbell movement and a data hub for communication with a network distribution system.
FIG. 3 discloses a perspective view which housing of the device, wherein the bar is not shown.
FIG. 4 discloses a perspective view which shows a putative electronics arrangement of said device.
FIG. 5 discloses strain gauges used to measure force on the bar. The top half of the device is not shown.
FIG. 6 is a diagram view disclosing an exercise device of the preferred embodiment comprising major sensor types.
FIG. 7 is a diagram view disclosing exemplary components and software modules present on a exercise device.
FIG. 8 is a diagram view disclosing exemplary software modules present on a user device.
FIG. 9 discloses a diagram view comprising exemplary components and modules present on a data hub.
FIG. 10 is a diagram view discloses exemplary software modules present on one or more servers.
FIG. 11 discloses a diagram view showing a preferred series of steps of using the invention.
FIG. 12 discloses a diagram view showing what happens after processing of data by exercise device.
FIG. 13 discloses a diagram view showing what happens when data enters the user device.
FIG. 14 discloses a diagram view showing what happens when data enters data hub.
FIG. 15 depicts a power estimate from data obtained during exercise comprising fusion of strain gauge sensor data and velocity data derived from a combination of sensors within IMU.
FIG. 16 discloses power calculations derived from both (i) user mass input and (ii) strain gauge mass input.
SUMMARYThe present invention relates to an exercise equipment device capable of measuring the movement path and weight load carried in/on the exercise device when an end-user is performing a specific exercise movement with said device. The movement path data is transmitted from the device to a collection device and subsequently analyzed. The movement path data is compared to a standard movement path and similarities and deviations from the standard movement path are determined. The degree of similarity and difference to the standard movement path is then transmitted back to the end-user. Moreover, specific performance metrics may be calculated and conveyed in order to make comparisons between end-user performance and previous performance, or between performances of multiple users. Accordingly, the present invention may provide end-user with information related to the exercise form and/or exercise metrics.
Information and analysis related to the movement path data obtained after an end-user performs an exercise with the device of the present invention is leveraged to inform the end-user as to the quality of their exercise form or technique. Accordingly, modifications may be made to improve the efficiency and/or efficacy of an end-users form or technique in order to improve the overall performance and optimize the results of the exercise program.
DETAILED DESCRIPTION OF THE INVENTIONThe present invention is now described with reference to the figures, where like reference numbers indicate identical or functionally similar elements. Also in the figures, the leftmost digit of each reference number corresponds to the figure in which the reference number is first used. While specific configurations and arrangements are discussed, it should be understood that this is done for illustrative purposes only. A person skilled in the relevant art will recognize that other configurations and arrangements can be used without departing from the spirit and scope of the invention. It will be apparent to a person skilled in the relevant art that this invention can also be employed in a variety of other systems and applications.
The instant invention comprises commonly known elements. Moreover, steps associated with the methods of instant invention comprise commonly known elements. However, these elements, their use, and relationships to the novel components of the invention render them applicable herein. In order to highlight the roles in the specification, they are subsequently explained herein.
The computer6 comprises a general purpose device that can be programmed to carry out a finite set of arithmetic or logical operations. Examples of computers6 include: desktop computers, game consoles, laptops, notebooks, palmtops, tablets, smartphones, smartbooks or the like. In a preferred embodiment, the computer6 preferably comprises the following sub-components: a central Processing Unit (CPU)7, memory8 (e.g., volatile and nonvolatile), and an operating system9.
A computer comprises aCPU7 that carries out the instructions of a computer program by performing the basic arithmetical, logical, and input/output operations of the system. Thememory8 comprises the physical devices used to store programs (e.g., sequences of instructions) or data (e.g. program state information) on a temporary or permanent basis for use in a computer or other digital electronic device. The operating system9 comprises a collection of software that manages computer hardware resources and provides common services for computer programs. Thegraphical user interface10 comprises a type of user interface that allows users to interact with electronic devices through graphical icons and visual indicators such as secondary notation, as opposed to text-based interfaces, typed command labels or text navigation. Themodule11 comprises instructions hosted onmemory8 executed by theCPU7 which perform functions. Theexercise device user3 comprises a person who has an interest in evaluating the data of or physically using one ormore exercise device4. In some embodiments, one can contemplate that examples of anexercise device user3 may include: a person, an athlete, a coach, an Olympian, a medical professional, rehabilitation professional, an insurance professional, a CrossFit instructor, a team coach, a personal trainer, a group trainer and other comparable equivalents.
In one embodiment, the invention may preferably has two sub-parts: alocal exercise system1 and anetworked distribution system2, respectively. Thelocal exercise system1 comprises a combination of sensors and one or more pieces of exercise equipment. In a preferred embodiment, thelocal exercise system1 is preferably positioned within a workout area. Thelocal exercise system1 aims to both: 1) monitor complex motion such as Olympic lifts comprising the snatch and the clean and jerk; and 2) monitor the form of the individual performing exercise relative to an established standard for said exercise. Thelocal exercise system1 operably communicates with the user and the network. Thelocal exercise system1 communicates with multiple items including a user a network. Thelocal exercise system1 preferably comprises the real time positioning system17, thedata hub16, and theexercise device4.
Thenetworked distribution system2 comprises one or more devices and/or networks that interact to share sensor data, processed data, data stores, and presentation interfaces. One objective of thenetworked distribution system2 is to communicate the data acquired from thesensor array28 so that it will be useful for one moreexercise device user3. In some embodiments, if thenetworked distribution system2 is missing, then the user may have a feedback and input mechanism solely on theexercise device4. In the preferred embodiment, thenetworked distribution system2 preferably comprises theuser device5, theserver54, and thenetwork15.
The real time positioning system17 comprises a means to track the spatial positions of one or more regions of theexercise device4. The real time positioning system17 aims to both: 1) capture the real time movement of the exercise device4 (e.g., barbell) during exercise; and 2) transmit movement path data from the exercise device to a collection device. In some embodiments, a real time positioning system17 may include an ultra-wideband (UWB) tracking system or the like. Further, the real time positioning system17 preferably comprises an additional sub-item comprising an UWB base station capture device18. In turn, the UWB base station capture devices18 comprises one or more measuring devices that measure the differences between time of flight, wavelength, and arrival time that are evaluated to calculate position. The UWB base station capture devices18 is positioned: 1) below the lifter if there exists only one base station; or 2) as far apart from each other as reasonably possible. Moreover, if multiple base stations are employed in the UWB, said base stations are preferably positioned at variable elevations.
TheUWB antenna38 comprises one or more antenna paired with one or more base stations used to track real time positioning of theexercise device4. Spatially, theUWB antenna38 is preferably situated on various regions of theexercise device4. One goal of theUWB antenna38 is to establish a three-dimensional (3D) position of a region of theexercise device4 in space. TheUWB antenna38 is attached to anexercise device4. In some embodiments, alternatives include a steady radio signal, optical motion tracking, infrared reflective light, motion capture, WiFi signal, and/or differential global positioning system (GPS) or the like, which may replace the antenna. In some embodiments, one may reason that if theUWB antenna38 is missing, then the exercise device44 may be used without high resolution real time positioning.
Thedata hub16 comprises a computer that integrates data from a real time positioning system17, auser device5 and data fromnetwork15. Thedata hub16 may perform processing, storage, or relay functions. In a preferred embodiment, thedata hub16 is preferably positioned within a workout area, in operational proximity (based on transmission range) to theexercise device4, and in operational proximity (based on transmission range) to the real time positioning system17. One goal of thedata hub16 is to integrate UWB process data from various components, computers and networks. Thedata hub16 operably communicates withexercise device4. Thedata hub16 communicates and/or interacts with other components that comprise the system including: anexercise device4; a real time positioning system17; anetwork15; and auser device5. In some embodiments, it is thought that if thedata hub16 is missing, then interaction may be limited to anexercise device4 and/oruser device5. In a preferred embodiment, thedata hub16 preferably comprises an on-site processing module19, a group class analysisdynamics processing module20, a real timegroup processing module21, atransmission processing module22, and a hub to cloudtransfer mechanism23.
The on-site processing module19 comprises a series of executable instructions stored on a memory that processes sensory data for analysis/evaluation of user performance. A group class analysisdynamics processing module20 comprises a series of executable instructions stored on a memory that helps with user demand across a networked system by local data processing. A real timegroup processing module21 comprises a series of executable instructions stored on a memory that shows real time analysis of group performance dynamics. For example, determining who is performing best/worst in the class. Atransmission processing module22 comprises a series of executable instructions stored on memory that helps process transmissions to and from thedata hub16. A hub to cloudtransfer mechanism23 comprises a hardware/software component used to transmit information. In some embodiments, examples of a hub to cloudtransfer mechanism23 may include: Wi-Fi, Bluetooth, GSM/CDMA, UWB as Datalink, a Wired USB, Wired 1394a, a Wired 1394b or the like.
Anexercise device4 comprises a device comprising one or more sensors that is used for physical fitness and operated by a user. Anexercise device4 is preferably positioned in the hands of one or moreexercise device user3. One intention of theexercise device4 is to track the usage data produced by anexercise device user3, so said data may be used for evaluation and/or monitoring of performance. In some embodiments, examples of anexercise device4 may include a multi-appendage bracelet, a pole vault, or traditional weight machines, such as leg press, a barbell or the like. In a preferred embodiment, theexercise device4 preferably comprises a barbell24. In a preferred embodiment, the barbell24 comprises a means for wirelessly communicating data collected from barbell sensors (e.g., a load cell with data capture) in order to transmit force data from an inertial measurement unit (“IMU”). AnIMU110 comprises an array of electronic sensors capable of measuring and reporting on specific force, angular rate, atmospheric pressure, the magnetic field surrounding an object.
While the exercise device is one embodiment of the claimed invention, alternatives include machines equipped with an array of sensors to track a load as it moves along a path. For example, in an alternative embodiment, a sensor array may be functional incorporated to measure a load on a robotic arm or the like as it moves.
A preferred embodiment of the exercise device is the barbell24. The barbell24 functions to both: 1) detect the weight of the weights attached to the barbell via thestrain gauge assembly25; and 2) capture the motion path in order to evaluate the end-users form relative to an established standard. In some embodiments, it is thought that examples of a barbell24 may include an Olympic committee standard, a straight barbell, dumbbells, free weight workout machines like leg press or hip sled. The barbell24 is preferably a standard shaped barbell comprising a grip area, collar diameter, and a weight carrying area. In turn, the barbell24 preferably comprises thebar26, thecollar27, and theremovable weight28.
Thebar26 comprises the straight portion of a barbell24 that interacts with a user's hands. Thebar26 functions as follows: to support the removable weights; to allow lifters to grasp the barbell; and to support the device electronics as disclosed herein. In a preferred embodiment, thebar26 is chiefly contemplated to be composed of metal. In a preferred embodiment, thebar26 is shaped like a cylinder. Theremovable weight28 comprises means for providing the counteracting force for lifting-based workouts. In a preferred embodiment, theremovable weight28 is chiefly contemplated to be composed of metal. In the preferred embodiment, theremovable weight28 is preferably circular in shape with an opening in the center.
In alternative embodiments, it is reasonable to contemplate that if thebar26 is absent, then alternative means for interacting with a user may suffice, such as lifting a weight directly. In such an embodiment the sensor array would be housed on the end-user (e.g. in a bracelet) or in the weight itself.
Thecollar27 comprises a portion of the barbell24 that separates the grip from the weight loading area. Removable weights are added to the weight loading area by inserting the bar through the central opening of the circular, removable weights. The removable weights are positioned against the collar and optionally fixed in place.
The sensor cassette106 may be positioned on the grip portion of the barbell adjacent to thecollar27. Alternatively, the sensor cassette106 may be positioned within the collar. Moreover, the sensor cassette106 may be removable or irremovably affixed to the bar.
The sensor cassette106 houses the sensors, components, CPU and memory for the performance measuring properties of the barbell24. In the preferred embodiment, the sensor cassette XX is preferably situated outside thebar26 and surrounding thebar26.
In the preferred embodiment, the sensor cassette106 preferably comprises thesensor array29, thehousing30, the bar todevice transfer mechanism31, the bar to basestation transfer mechanism32, the embedded module33, thepower switch34, the feedback components35, the embedded power source36, and the input mechanism37.
Thesensor array29 comprises one or more sensors that transform sensory or positional information into digital data. Thesensor array29 is preferably situated inside thehousing30 of the sensor cassette106. One goal of thesensor array29 is to have a series of different sensor types that allow anexercise device user3 to measure or evaluate performance data and potentially enhance performance. In some embodiments, one may reason that examples of asensor array29 may include a heart rate sensor, a physiological sensor, a strain sensor, a pressure sensor, a system where weights have tags, or a RFID or the like. Thesensor array29 preferably comprises thestrain gauge assembly25, theUWB antenna38, theidentity mechanism39, the magnetometer(s)40, accelerometer(s)106, gyroscope(s)106, and thealtimeter mechanism41.
In an embodiment of the present invention a plurality of sensors are used to achieve sensor array fusion.FIG. 15, 16 In the present invention, when an exercise device (e.g., barbell) is engaged as intended (e.g., lifted), all sensors deployed in the sensor array cassette, comprising the IMU and the strain gauge(s), collect data. Since the action of exercising using the device activates the majority of sensors deployed, the action of exercising fuses all data collection over the majority of the sensor array into one instance or context (e.g., the lift). Therefore, the data collected from the sensor array fusion is capable of producing a variety of data including, intra alia, force, speed, weight, etc. Multisensor data fusion may be performed using a multitude of algorithms. Deploying a sensor array capable of achieving fusion may increase the accuracy of the “fused-metrics” compared to one set of metrics in isolation.
In one embodiment of the present invention, an advanced sensor fusion is generated between a device mounted IMU and UWB antenna. This fusion allows high resolution motion tracking on order of centimeter or better resolution without a direct line of sight sensor such as a camera or laser range finder. In an alternative embodiment of the present invention, UWB systems use a combination of one or more static antenna stations and one or more dynamic antennas to be tracked. The base stations can be manually arranged with positions recorded or can automatically detect their positions relative to one another. In such an arrangement the system uses measurements of the Time of Flight (TOF) or Difference in Time Of Arrival (DTOA) to calculate the position of the dynamic antenna or antennas relative to the static base stations.
Moreover, in alternative embodiments of the present invention, a single static antenna can be used to measure radial motion, or motion that is directly towards or away from the antenna itself which could be useful if the static station is below the exercise device during a workout. Further, three dimensional motion can be tracked by multiple static antennas, with two antennas requiring an estimate of the motions as there are an infinite number of solutions along the circumference of the circle formed by intersecting spheres. Finally, threes static antennas provide a unique solution for any point in space without multi path radio effects, and more than three static antennas help to eliminate errors caused by multipath effects. Accordingly, IMU and multi-antenna UWB create a sensor fusion to improve data accuracy.
A person of ordinary skill in the art will appreciate that a plurality of sensors are capable of being fused to generate accurate metrics related to the present invention. Moreover, metrics obtained from these fused sensor arrays are superior to data obtained using data from a single sensor type.
Thestrain gauge assembly25 comprises an array of strain gauges arranged in a specific pattern that allows measuring of the force input on the bar. Thestrain gauge assembly25 aims to both: 1) measure the force on thebar26; and 2) work in concert with the other sensors to determine weight of the removable weights added to the bar. Thestrain gauge assembly25 may be joined with thebar26 and the within the sensor cassette. In some embodiments, examples of astrain gauge assembly25 may include a package of strain gauges, removable strain gauges, a sheer gauge or the like. Further, thestrain gauge assembly25 preferably comprises an additional sub-part herein termed thestrain gauge42.
Thestrain gauge42 comprises a type of sensor that allows measuring the minute change inbar26 length (i.e., bar stretching) caused by strain upon abar26 surface caused by loading saidbar26 with removable weights and/or lifting saidbar26. In a preferred embodiment, thestrain gauge42 is arranged under thecollar27, oriented parallel to thebar26, and opposite anotherstrain gauge42 on other side ofbar26. Thestrain gauge42 data is employed to calculate the force on the bar caused by the weight applied to the bar or by the action of lifting the bar. Thestrain gauge42 is connected with thebar26 and the components of the sensor cassette. In a preferred embodiment, thestrain gauge42 ideally will have a count of approximately 8 however is reasonable to imagine that thestrain gauge42 may vary from a lowest value of 1 to a highest value of 32 or more.
Anidentity mechanism39 comprises a means to associate one or more persons with the performance measured by theexercise devices4. Spatially, theidentity mechanism39 is preferably situated within the sensor cassette. Theidentity mechanism39 is designed to both: 1) track and transmit identity of user as data tag; and 2) identify specific end-users. Theidentity mechanism39 interacts with auser device5. Theidentity mechanism39 interacts with multiple components of the system. First, theidentity mechanism39 communicates withuser device5. In some embodiments, if theidentity mechanism39 is absent, then the device may be used anonymously. Further, theidentity mechanism39 preferably comprises an additional sub-member called a near-field communication (NFC) module44.
The NFC44 comprises set of protocols that enable electronic devices to establish radio communication with each other by touching the devices together, or bringing them into proximity to a distance of typically 10 cm or less. Spatially, the NFC44 is preferably situated within the sensor cassette. The NFC44 is designed to both: 1) function as a proximity sensor; and 2) collect, associate and transmit user data. In some embodiments, one may reason that examples of an NFC enabled tag or alternative44 may include: a fingerprint sensor, a bracelet, a biometric sensor, a retina sensor, and a digital input mechanism or the like.
The device of the instant invention also includes amagnetometer40 which comprises a device to measure the strength and, in some cases, the direction of the magnetic field at a point in space. Themagnetometer40 is preferably situated within the sensor cassette. One objective of themagnetometer40 is to be used as an orientation sensor. In some embodiments, it is thought that examples of amagnetometer40 may include a compass, an vector magnetometer, an absolute magnetometer, a relative magnetometer, a total field magnetometer, a scalar magnetometer or the like.
The device of the instant invention also includes an accelerometer which comprises a device that measures proper acceleration (“g-force”). In a preferred embodiment, an accelerometer is preferably situated within the sensor cassette. The accelerometer functions to both: 1) measure acceleration; and, 2) measure vibration. In some embodiments, it is thought that examples of an accelerometer may include a Bulk micromachined capacitive accelerometer, a Bulk micro machined piezoelectric resistive accelerometer, a Capacitive spring mass base accelerometer, a DC response accelerometer, a Electromechanical servo (Servo Force Balance) accelerometer, a High gravity accelerometer, a High temperature accelerometer, a Laser accelerometer, a Low frequency accelerometer, a Magnetic induction accelerometer, an Optical accelerometer, an Pendulous integrating gyroscopic accelerometer (PIGA), a Piezoelectric accelerometer, a Quantum (Rubidium atom cloud, laser cooled) accelerometer, a Resonance accelerometer, a Surface acoustic wave (SAW), an Surface micro machined capacitive (MEMS), a Thermal (sub micrometer CMOS process), a Shear mode accelerometer, Triaxial accelerometer, a Vacuum diode with flexible anode accelerometer, a potentiometric type accelerometer, or a LVDT type accelerometer or the like.
The gyroscope comprises a disc in which the axis of rotation is free to assume any orientation. Spatially, the gyroscope is preferably positioned within the sensor cassette. The gyroscope is intended to: 1) measure the orientation of theexercise device4; 2) measure the tilt of theexercise device4; and, 3) measure the angular velocity about an axis of the exercise device. In some embodiments, an example of a gyroscope may include a gyrostat, piezoelectric gyroscope, cylindrical resonator gyroscope, vibrating wheel gyroscope, tuning fork gyroscope, wine-glass resonator gyroscope, and MEMS gyroscope or the like.
One aim of thehousing30 is to house the electronic components of the device. Another aim is to protect the electronic components during use.
The bar todevice transfer mechanism31 comprises a means to transmit data between theexercise device4 and theuser device5. In a preferred embodiment, the bar todevice transfer mechanism31 is preferably arranged within the sensor cassette. In some embodiments, it is thought that examples of an bar todevice transfer mechanism31 may include: Wi-Fi, Bluetooth, GSM/CDMA, UWB as Datalink, Wired USB, Wired 1394a, or Wired 1394b or the like.
The bar to basestation transfer mechanism32 comprises a means to transmit data between theexercise device4 and theuser device5. In the preferred embodiment, the bar to basestation transfer mechanism32 is preferably arranged within the sensor cassette. The bar to basestation transfer mechanism32 is designed to both: 1) transmit data from the bar to a base station; and 2) transmit bar movement path information from the bar to a base station. In some embodiments, it is thought that examples of a bar to basestation transfer mechanism32 may include: Wi-Fi, Bluetooth, GSM/CDMA, UWB as Datalink, Wired USB, Wired 1394a, or Wired 1394b or the like.
The embedded module33 comprises one or more collections of executable instructions used to perform some of the processing, transmission, or features of theexercise device4. The embedded module33 is preferably arranged on the memory. The embedded module33 preferably comprises thedata collection module45, thedata serialization module46, thedata transmission module47, the preprocessing module48, the embeddeddatabase49, and the embedded user interface (UI)module50.
Thedata collection module47 comprises executable instructions stored on memory that allows one to collect data from one or more sensors. Thedata serialization module46 comprises executable instructions stored on memory that allows one to convert one or more objects into a stream of bytes. Thedata transmission module47 comprises executable instructions stored on memory that allows one to transmit data to and from theexercise device4.
The preprocessing module48 comprises executable instructions stored on memory that allows filtering, error correction, compression and other signal enhancement features. The preprocessing module48 preferably comprises thefiltering module51, theerror correction module52, and thecompression module53. Thefiltering module51 comprises executable instructions stored on memory that allows theexercise device4 to filter bandwidth data. Theerror correction module52 comprises executable instructions stored on memory that allows functions to help correct the error artifacts collected from one or more sensors. Thecompression module53 comprises executable instructions stored on memory that allows compression of data for transmission.
The embeddeddatabase49 comprises executable instructions stored on memory that allows the storage of data in an organized way that can be retrieved. The embedded user interface (UI)module50 comprises executable instructions stored on memory that allows the presentation of a user interface that can be manipulated by the user.
Thepower switch34 comprises a means for user to turn on and off theexercise device4. Thepower switch34 is intended to both 1) activate the device and to 2) deactivate the device. In some embodiments, it is thought that if thepower switch34 is missing, the device may be activated by movement or other means. Similarly, in some embodiments, it is thought that if the power switch is missing, the device may be deactivated by lack of movement or some other means.
The feedback components35 comprises a means for displaying useful information to anexercise device user3 allowing them to measure, adjust, or evaluate performance. Spatially, the feedback component35 is preferably positioned somewhere in or on theexercise device4. The feedback components35 has many intents which are as follows: First, the purpose of the feedback components35 is to communicate information via audio. Next, it aims to communicate information via visual signals. Finally, the feedback component35 aims to communicate information via the sense of touch. In some embodiments, it is thought that examples of an feedback components35 may include an lights, an LCD, a OLED, a computer screen, an audio feedback, a speakers, or a haptic feedback or the like. In some embodiments, it is thought that if the feedback component35 is absent, than theexercise device4 can be used without specific feedback means.
The embedded power source36 comprises means for powering theexercise device4. In some embodiments, it is thought that examples of an embedded power source36 may include a rechargeable (secondary) battery, a single use (primary) battery, a fuel cell, a capacitor bank, a wireless charging mechanism, an inductive charging mechanism, a ultra-capacitor, a kinetic power source or the like.
The input mechanism37 comprises a means for inputting useful information to anexercise device user3 allowing them to unlock or modify, or enter data. Spatially, the input mechanism37 is preferably positioned somewhere in or on theexercise device4. One aim of the input mechanism37 is to input relevant data for user. In some embodiments, it is thought that examples of an input mechanism37 may include a keypad, a touchscreen, a microphone or the like. In some embodiments, it is thought that if the input mechanism37 is absent, than theexercise device4 can be used without specific feedback means.
Theuser device5 comprises a computer that may have an app or processing or user interface (UI) modules for evaluating the performance of one or more users of theexercise device4. Theuser device5 is preferably arranged within operational proximity to theexercise device4. Theuser device5 has multiple objectives including: viewing performance data; maintaining identity data; transmitting performance data. Theuser device5 interacts withexercise device4. Theuser device5 communicates with a couple of things: It interacts withexercise device4 and it also interacts withdata hub16. Theuser device5 communicates with multiple items: First, theuser device5 interacts withexercise device4. Next, it interacts withdata hub16 by. Finally, it interacts with internet. In some embodiments, one may reason that if theuser device5 is missing, then one may perhaps use theexercise device4 without identity or evaluation. Theuser device5 preferably comprises the device graphical user interface55, the device CPU56, the device memory57, and the device to cloudtransfer mechanism58.
The device graphical user interface55 comprises . . . (see above for definition of graphical.user.interface). The device CPU56 comprises . . . (see above for definition of CPU). The device memory57 comprises . . . (see above for definition of memory). In the preferred embodiment, the device memory57 preferably comprises the user interface (UI)module59, thedevice database60, the realtime analysis module61, and thecommunication module62. TheUI module59 comprises executable instructions on the memory that allows one more interfaces to be graphically represented. Thedevice database60 comprises executable instructions on the memory that allows storage and retrieval of data. The realtime analysis module61 comprises executable instructions on the memory that allows processing and analysis of real time metrics when performing using theexercise device4. Thecommunication module62 comprises executable instructions on the memory that allows one to communicate with one or platforms of application program interfaces (APIs). The device tocloud transfer mechanism58 comprises a means to transmit data between theuser device5 and the cloud ornetwork15. One objective of the device to cloudtransfer mechanism58 is to transmit data from the device to cloud. In some embodiments, one may reason that examples of an device to cloudtransfer mechanisms58 may include: Wi-Fi, Bluetooth, GSM/CDMA, UWB as Datalink, Wired USB, Wired 1394a, Wired 1394b or the like.
Theserver54 comprises a system (software and suitable computer hardware) that responds to requests across a computer network and has a CPU capable of executing one or more instructions on one or module present on memory. Theserver54 preferably comprises theserver CPU63, and theserver memory64, respectively. In the preferred embodiment, theserver memory64 preferably comprises the group data analysis andmanagement module65, the artspecific application processing66, thebusiness analysis module67, the performance strengthtraining correlation module68, the server user interface (UI)modules69, thehistory module70, thedatabase71, and thetemplate comparison module72.
The group data analysis andmanagement module65 comprises executable instructions on the memory that allows for analyzing group dynamics and process said data for output to user. The artspecific application processing66 comprises executable instructions on the memory that allows the data or interfaces to be tailored to the different consumers of the product (i.e., Olympic weightlifters, medical professionals, insurance companies, coaches etc.). Thebusiness analysis module67 comprises executable instructions on the memory that allows analysis of the business dynamics related toexercise device4. The performance strengthtraining correlation module68 comprises executable instructions on the memory that allows analysis, planning and evaluation for strength training. Theserver UI modules69 comprise executable instructions on the memory that allows interfaces to the server. Thehistory module70 comprises executable instructions on the memory that allows one to track the performance history of a user of theexercise device4. Thedatabase71 comprises executable instructions on the memory that allows for storage and retrieval of data. Thetemplate comparison module72 comprises executable instructions on the memory that allows one to compare their performance with that of a template professional.
Thenetwork15 comprises a telecommunications network that allows computers to exchange data. In some embodiments, it is reasonable to contemplate that examples of annetwork15 may include a personal area network, wireless personal area network, near-me area network, a local area network, a wireless local area network, a wireless mesh network, a wireless metropolitan area network, a wireless wide area network, a cellular network, a home area network, a storage area network, a campus area network, a backbone area network, a metropolitan area network, a wide area network, an enterprise private network, a virtual private network, an intranet, an extranet, an internetwork, an internet, a near field communications, or a mobile telephone network or the like.
The present invention relates to an exercise system comprising an exercise device and a method of using said device within said system. The objective of said exercise system is to capture the movement associated with an end-user performing an exercise. More specifically, the objective of the invention is to capture movement-based metrics during exercise and conduct a comparative analysis of those metrics to one or more of the following: (i) an end-user's past performance; (ii) the performance of others; and, (iii) and a standard for a specific exercise. Further, the present invention tracks the progress of the end-user over the course of the lift period. For example, power and speed data are collected when an end-user is lifting a specific weight for a set number of repetitions, thereby allowing for intra-set evaluations and analyses to be conducted. Moreover, the present invention allows for tracking the performance of individual workouts in order to map workout effectiveness.
Another object of the invention is to understand when a trainer's client is giving full effort. Yet another object of the invention is to validate personal trainer usefulness. Yet another object of the invention is to allow a more comprehensive evaluation of trainer's client. Yet another object of the invention is to allow for the evaluation of the effectiveness of a trainer. Yet another object of the invention is to allow coaching from a trainer, including an artificial intelligent (AI) trainer. Further, it is an object of the invention to prevent fraud from self-captured data.
Another object of the invention is to analyze the performance of highly technical barbell movements such as a snatch or a clean and jerk. An additional object of the invention is to evaluate the performance of highly technical barbell movements such as a snatch or clean-and-jerk.
Another object of the invention is to get data to allow for data mining for new knowledge. Yet another object of the invention is to acquire data to back up training decisions. Yet another object of the invention is to provide direction related to a specific exercise to an end-user.
Another object of the invention is to allow targeted instructions to personnel. Yet another object of the invention is to improve performance. Yet another object of the invention is to optimize form. Yet another object of the invention is to prevent injury due to poor form.
Another object of the invention is to allow for targeted workouts based on needs and deficiencies in order to rehabilitate or strengthen specific muscles and/or groups of muscles. Yet another object of the invention is to optimize exercise form for rehabilitation. Yet another object of the invention is to aid in recovery after surgical or medical procedure. Yet another object of the invention is to improve recovery from injury. Yet another object of the invention is to improve health of elderly.
Another object of the invention is to assess the cost of treatment. Yet another object of the invention is to optimize premiums based on risk. Yet another object of the invention is to determine if procedures are necessary. Yet another object of the invention is to determine if procedures should be recommended.
Another object of the invention is to have bulk evaluation and comparison of metrics for individual and teams that may be accessed by end-users and other such as coaching staff member, trainers, medical professionals or the like. Yet another object of the invention is to learn what metrics from a barbell translate to sport specific performance. Yet another object of the invention is to more quickly realize gains to prove trainer is effective.
Another object of the invention is to assess the potential of an athlete. Yet another object of the invention is to rank athletes by potential/ability. Yet another object of the invention is to easily compare athletes against each other. Yet another object of the invention is to assist with drafting and/or choosing athletes.
Another object of the invention is to leverage Deep Learning of Exercise data. As a sufficiently large network of exercise bars are used very large sample sizes are collected. Combining large data sets with precision temporal and spatial positioning data from, for example, fused IMU and position sensor systems aligned and indexed in combination with strain sensor data, barometric data, and timing data from multiple users over time enables, allows large N-analysis of lift performance and workout regimen or therapeutic regimen workouts without the need of perform long term controlled scientific tests on specific test participants.
A general method for using the invention comprises an exercise device user3: (i) acquiring one ormore exercise device4; (ii) activating one ormore exercise device4; (iii) activating or otherwise establishing communication between auser device5 and saidexercise device4; (iv) using theexercise device4; (iii) transmitting data from one or more sensors on theexercise device4; (v) collecting and processing said data collected by one ormore exercise device4 modules; (vi) transmitting data to one or more components for processing, presentation or evaluation by one or more users or coaches; (vii) evaluating data acquired from theexercise device4. The above method is herein identified asmethod1 and while these steps are depicted in an order, it is thought that these steps may be performed in one or more alternative orders and still reflect the novelty of the invention.
Further Step (vi) comprises two sub steps comprising: transmitting system data acquired fromexercise device4 touser device5 via transfer mechanism12 (this step is herein identified as Step (viii)); and/or, transmitting data acquired fromexercise device4 to base station13 (this step is herein identified as Step (ix)). The above method is herein identified asmethod2. It is thought that these steps may be performed in one or more alternative orders and still reflect the novelty of the invention.
Further, Step (viii) comprises two sub steps for using it which is as follows: processing data by one or more modules14 on a user device5 (this step is herein identified as Step (x)); and/or transmitting data to one or more of the following: anetwork15, adata hub16, or back to an exercise device4 (this step is herein identified as Step (xi)). The above method is herein identified asmethod3. It is thought that these steps may be performed in one or more alternative orders and still reflect the novelty of the invention.
Further, Step x comprises several sub steps comprising: transmitting from abase station13 to a data hub16 (this step is herein identified as Step (xii)); processing data on one or more modules14 on the data hub16 (this step is herein identified as Step (xiii)); optionally, transmitting data to one or more of the following: anetwork15, auser device5 or back to an exercise device4 (this step is herein identified as Step (xiv)). The above method is herein identified asmethod4. It is thought that these steps may be performed in one or more alternative orders and still reflect the novelty of the invention.
Embodiments of the instant invention include: A barbell comprising a bar; an inertial measurement unit; a transmission system; a collar; an adjustable load segment; removable weights which may be added to the adjustable load segment of the barbell.
Embodiments of the instant invention further comprise an inertial measurement unit (IMU) of the barbell device that may also comprise a sensor array and a transmission system. The sensory array may further comprise: a gyroscope; an accelerometer, an altimeter; a strain gauge; and/or a magnetometer. The transmission system may comprise a transmission module to relay data from an exercise device to a network distribution system.
Embodiments of the instant invention include an exercise system comprising a local exercise system; and a networked distribution system. The local exercise system comprises a real time positioning system, a data hub, and an exercise device, whereas the networked distribution system comprises a user device, a server and a network.
More specifically, a data hub may comprise a computer wherein said computer integrates data from said local exercise system and said networked distribution system comprising: collecting and transmitting real time position data, processing, and storage of data. Likewise, a real time position system may comprise an ultra-wideband (UWB) tracking system comprising a base station capture device.
Further, a variety of methodologies for employing the exercise device of the instant invention are understood. One embodiment includes: acquiring and activating an exercise devices; using said exercise device; collecting information from one or more sensors on said exercise device; transmitting data from said sensor(s) to a collection device; processing and evaluating said data, and transmitting results back to an end-user.