技术领域technical field
本发明属于可穿戴智能运动背心技术领域,具体涉及一种能够检测人体运动姿势的智能运动背心装置及其检测方法。The invention belongs to the technical field of wearable intelligent sports vests, and in particular relates to an intelligent sports vest device and a detection method thereof capable of detecting human motion postures.
背景技术Background technique
在生活中,健身运动已经成为人们减肥塑形、增强体质的热门方式之一。健身运动有很多种,例如骑行、举哑铃、臂力器等。正确的健身方式能够增强体质,但是如果错误地健身,就会得到反效果。在现实中,大多数人因为缺乏专业的健身知识,也没有专业人士的指导,所以很容易就会在健身运动时没有按照正确的姿势进行,长久下来,就会养成了错误的健身姿势。错误的健身姿势会造成腰椎、肌肉等的问题。In life, fitness exercise has become one of the popular ways for people to lose weight, shape their body and enhance their physique. There are many kinds of fitness exercises, such as cycling, lifting dumbbells, arm strength machines, etc. The right way of exercising can strengthen your body, but if you do it wrong, it will have the opposite effect. In reality, because most people lack professional fitness knowledge and guidance from professionals, it is easy for them not to follow the correct posture during fitness exercises. After a long time, they will develop wrong fitness postures. Wrong fitness posture can cause lumbar spine, muscle and other problems.
发明内容Contents of the invention
本发明的目的是针对生活中人们在健身时不能保持正确姿势的问题,提供一种检测人体运动姿势的智能运动背心装置,同时相应提供其检测方法。The purpose of the present invention is to provide an intelligent sports vest device for detecting the human body's motion posture, and correspondingly provide its detection method for the problem that people cannot maintain the correct posture when exercising in daily life.
为了实现以上目的,本发明提出的一种检测人体运动姿势的智能运动背心装置,包括运动背心、主控电路板以及第一位置传感器、第二位置传感器、第三位置传感器;所述运动背心包括护肩和护腰;所述第一位置传感器、第二位置传感器分别安装在护肩左右两侧,以分别检测人体的左肩姿势和右肩姿势;第三位置传感器安装在护腰上,以检测人体的腰部姿势;主控电路板上具有微处理器和姿势数据发送模块;所述微处理器分别与所述第一位置传感器、第二位置传感器、第三位置传感器以及姿势数据发送模块通讯连接,以相应接收人体的左肩姿势数据、右肩姿势数据、腰部姿势数据对人体姿势进行识别,并由姿势数据发送模块发送识别结果。In order to achieve the above object, a kind of intelligent motion vest device that the present invention proposes to detect human motion posture comprises motion vest, main control circuit board and first position sensor, second position sensor, the 3rd position sensor; Described motion vest comprises Shoulder pads and waist pads; the first position sensor and the second position sensor are respectively installed on the left and right sides of the shoulder pads to detect the posture of the left shoulder and the right shoulder of the human body; the third position sensor is installed on the waist pad to detect The posture of the waist of the human body; the main control circuit board has a microprocessor and a posture data transmission module; the microprocessor is respectively connected to the first position sensor, the second position sensor, the third position sensor and the posture data transmission module , by correspondingly receiving the left shoulder posture data, the right shoulder posture data, and the waist posture data of the human body to recognize the posture of the human body, and the posture data sending module sends the recognition result.
本发明的进一步优选方案中,所述护肩为纤维护肩,所述护腰为纤维护肩。In a further preferred solution of the present invention, the shoulder pads are fiber shoulder pads, and the waist pads are fiber shoulder pads.
本发明的进一步优选方案中,第一位置传感器、第二位置传感器通过胶水粘合在所述护肩上;第三位置传感器通过胶水粘合在所述护腰上。In a further preferred solution of the present invention, the first position sensor and the second position sensor are bonded to the shoulder guard by glue; the third position sensor is bonded to the waist guard by glue.
本发明的进一步优选方案中,所述姿势数据发送模块发送识别结果的接收端为手机。In a further preferred solution of the present invention, the receiving end of the recognition result sent by the posture data sending module is a mobile phone.
本发明的进一步优选方案中,第一位置传感器、第二位置传感器以及第三位置传感器具体为MPU9250模块,其集成有三轴磁力计、三轴陀螺仪、三轴加速度计、一个可扩展的数字运动处理器以及一个IIC接口。In a further preferred solution of the present invention, the first position sensor, the second position sensor and the third position sensor are specifically the MPU9250 module, which integrates a three-axis magnetometer, a three-axis gyroscope, a three-axis accelerometer, an expandable digital motion processor and an IIC interface.
本发明的进一步优选方案中,所述微处理器为STM32处理器,所述第一位置传感器、第二位置传感器以及第三位置传感器通过IIC接口与所述微处理器通讯连接;所述姿势数据发送模块为CC2540芯片,其与所述微处理器通过串口USART通讯连接。In a further preferred solution of the present invention, the microprocessor is an STM32 processor, and the first position sensor, the second position sensor and the third position sensor communicate with the microprocessor through an IIC interface; the posture data The sending module is a CC2540 chip, which communicates with the microprocessor through a serial port USART.
本发明相应提出的上述检测人体运动姿势的智能运动背心装置的检测方法,包括以下步骤:The detection method of the above-mentioned intelligent motion vest device that the present invention proposes correspondingly detects human motion posture, comprises the following steps:
a、STM32处理器初始化;a. STM32 processor initialization;
b、三个MPU9250模块分别初始化;b. Three MPU9250 modules are initialized respectively;
c、STM32处理器将DMP库写入MPU9250模块;c. The STM32 processor writes the DMP library into the MPU9250 module;
d、STM32处理器通过IIC接口分别读取三个MPU9250模块的加速度、角速度数据,通过计算得到欧拉角数据;d. The STM32 processor reads the acceleration and angular velocity data of the three MPU9250 modules through the IIC interface, and obtains the Euler angle data through calculation;
e、以MPU9250模块作为坐标原点作三轴坐标,设以原点为中心,平行重垂线指向上方为坐标轴的Z轴;设以原点为中心,平行地面及两肩膀连成的水平线指向身体右方为坐标轴的Y轴方向;设以原点为中心,垂直身体平面指向身体正前方为坐标轴的X轴方向;e. Take the MPU9250 module as the coordinate origin for the three-axis coordinates, set the origin as the center, and the parallel vertical line pointing upward to the Z axis as the coordinate axis; set the origin as the center, and the parallel ground and the horizontal line formed by the two shoulders point to the right side of the body Square is the Y-axis direction of the coordinate axis; let the origin be the center, and the vertical body plane pointing to the front of the body is the X-axis direction of the coordinate axis;
f、采集到的两肩的姿态数据,以两肩上的采集点绕Y轴旋转的角度作差,根据作差结果判断该时刻人体双肩的状态处于双肩平直、双肩上耸、单肩侧偏其中一种姿态;f. The collected attitude data of the two shoulders is made difference by the rotation angle of the collection point on the two shoulders around the Y axis. According to the result of the difference, it is judged that the state of the human body's shoulders at this moment is straight shoulders, shoulders shrugged, and one shoulder side one of the attitudes;
g、采集到的其中一边肩膀的姿态数据,以此采集点绕Z轴方向旋转的角度作为参照,判断该时刻该边肩膀的状态处于挺肩、单肩前倾、单肩后张其中一种姿态;g. The posture data of one of the shoulders is collected, and the angle of rotation around the Z-axis direction of the collection point is used as a reference to determine whether the state of the shoulder at this moment is one of shoulder straightening, one shoulder leaning forward, and one shoulder stretching backward attitude;
h、采集到的两肩的姿态数据,以两肩上的采集点绕X轴旋转的角度为参照,判断该时刻肩膀以上的位置处于垂直、下弯、后仰其中一种姿态;h. For the collected attitude data of the shoulders, use the angle of rotation of the collection points on the shoulders around the X axis as a reference, and judge that the position above the shoulders at this moment is in one of the attitudes of vertical, downward bending, and backward;
i、采集到的腰部的姿态数据,以该采集点绕X轴旋转的角度,判断该时刻身体躯干的状体处于弯腰、直立、后仰、驼背其中一种姿态;i. The posture data of the collected waist is judged to be in one of the postures of bending over, standing upright, leaning back, and hunchback at that moment based on the angle of rotation of the collection point around the X axis;
j、以腰部采集点绕Z轴旋转的数据与双肩采集点绕Z轴旋转的数据作差,根据作差的结果判断该时刻身体躯干处于直立、左转、右转的状态;j. Make a difference between the data of the rotation of the waist collection point around the Z axis and the data of the rotation of the shoulder collection points around the Z axis, and judge according to the result of the difference that the trunk of the body is in an upright, left-turned, and right-turned state at this moment;
k、结合所述f、g、h、i、j的检测结果,分析出该时刻上半身姿势,通过CC2540芯片发送至手机端;k, in combination with the detection results of f, g, h, i, j, analyze the upper body posture at this moment, and send it to the mobile phone terminal through the CC2540 chip;
l、姿势识别结束。l. Gesture recognition ends.
有益效果:本发明可在用户进行运动时对用户的身体姿态数据进行采集,采集的数据可与包含正确健身动作的数据库中的数据进行对比,判断该时刻用户的运动姿势是否正确,达到提醒、纠正用户健身动作的目的,使用户可以保持正确的运动姿势。Beneficial effects: the present invention can collect the user's body posture data when the user is exercising, and the collected data can be compared with the data in the database containing correct fitness actions to judge whether the user's exercise posture at this moment is correct, achieving reminders, The purpose of correcting the user's fitness movements is to enable the user to maintain the correct exercise posture.
附图说明Description of drawings
图1是实施例提出的一种检测人体运动姿势的智能运动背心装置结构示意图。Fig. 1 is a schematic structural diagram of an intelligent sports vest device for detecting human motion postures proposed by the embodiment.
图中:1-第二位置传感器连接线,2-第二位置传感器,3-护肩,4-主控电路板,5-护腰,6-第三位置传感器连接线,7-第三位置传感器,8-第一位置传感器连接线,9-第一位置传感器。In the figure: 1-second position sensor connection line, 2-second position sensor, 3-shoulder protection, 4-main control circuit board, 5-waist protection, 6-third position sensor connection line, 7-third position Sensor, 8-first position sensor connection line, 9-first position sensor.
具体实施方式detailed description
为了便于本领域技术人员理解,下面将结合附图以及实施例对本发明进行进一步描述。In order to facilitate the understanding of those skilled in the art, the present invention will be further described below in conjunction with the accompanying drawings and embodiments.
请参阅图1,实施例提出的一种检测人体运动姿势的智能运动背心装置,包括运动背心、主控电路板4以及第一位置传感器9、第二位置传感器2、第三位置传感器6。运动背心包括护肩3和护腰5,本实施例中护肩3采用的是纤维护肩,护腰5采用的是纤维护肩。Please refer to FIG. 1 , a kind of intelligent sports vest device for detecting human motion posture proposed by the embodiment includes a sports vest, a main control circuit board 4 , and a first position sensor 9 , a second position sensor 2 , and a third position sensor 6 . The sports vest includes shoulder pads 3 and waist pads 5. In this embodiment, the shoulder pads 3 are made of fiber shoulder pads, and the waist pad 5 is made of fiber shoulder pads.
第一位置传感器9、第二位置传感器2分别安装在护肩3左右两侧,以分别检测人体的左肩姿势和右肩姿势.第三位置传感器7安装在护腰5上,以检测人体的腰部姿势。在具体安装上,第一位置传感器9、第二位置传感器2优选通过胶水粘合在所述护肩3上;同样,第三位置传感器7优选通过胶水粘合在所述护腰5上。The first position sensor 9 and the second position sensor 2 are respectively installed on the left and right sides of the shoulder pad 3 to detect the posture of the left shoulder and the right shoulder of the human body respectively. The third position sensor 7 is installed on the waist pad 5 to detect the waist of the human body posture. In terms of specific installation, the first position sensor 9 and the second position sensor 2 are preferably bonded to the shoulder guard 3 by glue; similarly, the third position sensor 7 is preferably bonded to the waist guard 5 by glue.
主控电路板4上具有微处理器和姿势数据发送模块;所述微处理器4分别与所述第一位置传感器9、第二位置传感器2、第三位置传感器7以及姿势数据发送模块通讯连接,以相应接收人体的左肩姿势数据、右肩姿势数据、腰部姿势数据对人体姿势进行识别,并由姿势数据发送模块发送识别结果,例如发送到手机的APP上告知用户当前姿势是否正确及作出提醒。The main control circuit board 4 has a microprocessor and a posture data transmission module; the microprocessor 4 is respectively connected with the first position sensor 9, the second position sensor 2, the third position sensor 7 and the posture data transmission module. , to recognize the human body posture by correspondingly receiving the left shoulder posture data, right shoulder posture data, and waist posture data of the human body, and the posture data sending module sends the recognition result, for example, to the APP of the mobile phone to inform the user whether the current posture is correct and to make a reminder .
本实施例中,第一位置传感器、第二位置传感器以及第三位置传感器具体可用MPU9250模块实现,该MPU9250模块集成有三轴磁力计、三轴陀螺仪、三轴加速度计、一个可扩展的数字运动处理器DMP(即Digital Motion Processing)以及一个IIC接口。第一位置传感器9、第二位置传感器2以及第三位置传感器7具体通过IIC接口与所述微处理器通讯连接;所述姿势数据发送模块可采用CC2540芯片,其与所述微处理器通过串口USART通讯连接。姿势数据发送模块发送识别结果的接收端为手机等移动终端。In this embodiment, the first position sensor, the second position sensor, and the third position sensor can be implemented with the MPU9250 module. The MPU9250 module integrates a three-axis magnetometer, a three-axis gyroscope, a three-axis accelerometer, and an expandable digital motion sensor. Processor DMP (that is, Digital Motion Processing) and an IIC interface. The first position sensor 9, the second position sensor 2 and the third position sensor 7 are specifically connected to the microprocessor through the IIC interface; the posture data sending module can adopt the CC2540 chip, which is connected with the microprocessor through the serial port USART communication connection. The receiving end of the recognition result sent by the posture data sending module is a mobile terminal such as a mobile phone.
实施例中提出的检测人体运动姿势的智能运动背心装置的检测方法,参考以下步骤:The detection method of the intelligent sports vest device that detects the motion posture of human body that proposes in the embodiment, refer to the following steps:
a、STM32处理器初始化;a. STM32 processor initialization;
b、三个MPU9250模块分别初始化;b. Three MPU9250 modules are initialized respectively;
c、STM32处理器将DMP库写入MPU9250模块;c. The STM32 processor writes the DMP library into the MPU9250 module;
d、STM32处理器通过IIC接口分别读取三个MPU9250模块的加速度、角速度数据,通过计算得到欧拉角数据;d. The STM32 processor reads the acceleration and angular velocity data of the three MPU9250 modules through the IIC interface, and obtains the Euler angle data through calculation;
e、以MPU9250模块作为坐标原点作三轴坐标,设以原点为中心,平行重垂线指向上方为坐标轴的Z轴;设以原点为中心,平行地面及两肩膀连成的水平线指向身体右方为坐标轴的Y轴方向;设以原点为中心,垂直身体平面指向身体正前方为坐标轴的X轴方向;e. Take the MPU9250 module as the coordinate origin for the three-axis coordinates, set the origin as the center, and the parallel vertical line pointing upward to the Z axis as the coordinate axis; set the origin as the center, and the parallel ground and the horizontal line formed by the two shoulders point to the right side of the body Square is the Y-axis direction of the coordinate axis; let the origin be the center, and the vertical body plane pointing to the front of the body is the X-axis direction of the coordinate axis;
f、采集到的两肩的姿态数据,以两肩上的采集点绕Y轴旋转的角度作差,根据作差结果判断该时刻人体双肩的状态处于双肩平直、双肩上耸、单肩侧偏其中一种姿态;f. The collected attitude data of the two shoulders is made difference by the rotation angle of the collection point on the two shoulders around the Y axis. According to the result of the difference, it is judged that the state of the human body's shoulders at this moment is straight shoulders, shoulders shrugged, and one shoulder side one of the attitudes;
g、采集到的其中一边肩膀的姿态数据,以此采集点绕Z轴方向旋转的角度作为参照,判断该时刻该边肩膀的状态处于挺肩、单肩前倾、单肩后张其中一种姿态;g. The posture data of one of the shoulders is collected, and the angle of rotation around the Z-axis direction of the collection point is used as a reference to determine whether the state of the shoulder at this moment is one of shoulder straightening, one shoulder leaning forward, and one shoulder stretching backward attitude;
h、采集到的两肩的姿态数据,以两肩上的采集点绕X轴旋转的角度为参照,判断该时刻肩膀以上的位置处于垂直、下弯、后仰其中一种姿态;h. For the collected attitude data of the shoulders, use the angle of rotation of the collection points on the shoulders around the X axis as a reference, and judge that the position above the shoulders at this moment is in one of the attitudes of vertical, downward bending, and backward;
i、采集到的腰部的姿态数据,以该采集点绕X轴旋转的角度,判断该时刻身体躯干的状体处于弯腰、直立、后仰、驼背其中一种姿态;i. The posture data of the collected waist is judged to be in one of the postures of bending over, standing upright, leaning back, and hunchback at that moment based on the angle of rotation of the collection point around the X axis;
j、以腰部采集点绕Z轴旋转的数据与双肩采集点绕Z轴旋转的数据作差,根据作差的结果判断该时刻身体躯干处于直立、左转、右转的状态;j. Make a difference between the data of the rotation of the waist collection point around the Z axis and the data of the rotation of the shoulder collection points around the Z axis, and judge according to the result of the difference that the trunk of the body is in an upright, left-turned, and right-turned state at this moment;
k、结合所述f、g、h、i、j的检测结果,分析出该时刻上半身姿势,通过CC2540芯片发送至手机端;k, in combination with the detection results of f, g, h, i, j, analyze the upper body posture at this moment, and send it to the mobile phone terminal through the CC2540 chip;
l、姿势识别结束。l. Gesture recognition ends.
以上所述实施例仅表达了本发明的几种实施方式,其描述较为具体和详细,但并不能因此而理解为对本发明专利范围的限制。应当指出的是,对于本领域的普通技术人员来说,在不脱离本发明构思的前提下,还可以做出若干变形和改进,这些都属于本发明的保护范围。因此,本发明专利的保护范围应以所附权利要求为准。The above-mentioned embodiments only express several implementation modes of the present invention, and the description thereof is relatively specific and detailed, but should not be construed as limiting the patent scope of the present invention. It should be pointed out that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent for the present invention should be based on the appended claims.
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610971028.9ACN106344036A (en) | 2016-10-31 | 2016-10-31 | Intelligent running shirt device for detecting movement posture of human body and detecting method thereof |
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610971028.9ACN106344036A (en) | 2016-10-31 | 2016-10-31 | Intelligent running shirt device for detecting movement posture of human body and detecting method thereof |
| Publication Number | Publication Date |
|---|---|
| CN106344036Atrue CN106344036A (en) | 2017-01-25 |
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610971028.9APendingCN106344036A (en) | 2016-10-31 | 2016-10-31 | Intelligent running shirt device for detecting movement posture of human body and detecting method thereof |
| Country | Link |
|---|---|
| CN (1) | CN106344036A (en) |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106952449A (en)* | 2017-03-31 | 2017-07-14 | 柳州易农科技有限公司 | A kind of intelligent and safe vest |
| CN108597264A (en)* | 2017-12-28 | 2018-09-28 | 福州市鼓楼区智搜信息科技有限公司 | A kind of tutoring system and its implementation tracing review |
| CN108835725A (en)* | 2018-04-20 | 2018-11-20 | 佛山市长郡科技有限公司 | A kind of intelligent body-building clothes |
| CN109745053A (en)* | 2019-03-05 | 2019-05-14 | 珠海市鼎芯科技有限公司 | A human body state detection device and method |
| CN111968349A (en)* | 2020-07-02 | 2020-11-20 | 黄河交通学院 | Human body abnormal posture identification method and correction device based on six-axis sensor |
| CN114343622A (en)* | 2022-03-18 | 2022-04-15 | 龙旗电子(惠州)有限公司 | Intelligent monitoring method and device for clothes and human body shape |
| CN115518358A (en)* | 2022-09-16 | 2022-12-27 | 中国人民解放军总医院京中医疗区 | Be used for wearing formula gesture correction equipment of running |
| CN116098609A (en)* | 2022-08-17 | 2023-05-12 | 深圳市研祥潜动科技有限公司 | Action detection method, device, wearable equipment and system |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070032748A1 (en)* | 2005-07-28 | 2007-02-08 | 608442 Bc Ltd. | System for detecting and analyzing body motion |
| JP2011078728A (en)* | 2009-03-10 | 2011-04-21 | Shinsedai Kk | Body state evaluation unit, state estimation unit, step estimation unit, and health management system |
| BRPI1100461A2 (en)* | 2011-02-16 | 2012-10-02 | Gilmar Jose Alves De Carvalho | suitable postural information device for shoulder protrusion, method of use and method of operation of said apparatus |
| CN103118647A (en)* | 2010-09-22 | 2013-05-22 | 松下电器产业株式会社 | Exercise assistance system |
| CN103961109A (en)* | 2014-05-05 | 2014-08-06 | 北京航空航天大学 | Human body posture detection device based on acceleration signals and angular speed signals |
| CN104274183A (en)* | 2013-07-01 | 2015-01-14 | 株式会社东芝 | Motion information processing apparatus |
| KR101553585B1 (en)* | 2014-06-02 | 2015-09-17 | 박정근 | Correct posture guidance system |
| CN105997090A (en)* | 2016-04-29 | 2016-10-12 | 乐视控股(北京)有限公司 | Method and device for head-neck posture monitoring |
| CN206630612U (en)* | 2016-10-31 | 2017-11-14 | 广州大学 | A kind of smart motion vest device for detecting human motion posture |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070032748A1 (en)* | 2005-07-28 | 2007-02-08 | 608442 Bc Ltd. | System for detecting and analyzing body motion |
| JP2011078728A (en)* | 2009-03-10 | 2011-04-21 | Shinsedai Kk | Body state evaluation unit, state estimation unit, step estimation unit, and health management system |
| CN103118647A (en)* | 2010-09-22 | 2013-05-22 | 松下电器产业株式会社 | Exercise assistance system |
| BRPI1100461A2 (en)* | 2011-02-16 | 2012-10-02 | Gilmar Jose Alves De Carvalho | suitable postural information device for shoulder protrusion, method of use and method of operation of said apparatus |
| CN104274183A (en)* | 2013-07-01 | 2015-01-14 | 株式会社东芝 | Motion information processing apparatus |
| CN103961109A (en)* | 2014-05-05 | 2014-08-06 | 北京航空航天大学 | Human body posture detection device based on acceleration signals and angular speed signals |
| KR101553585B1 (en)* | 2014-06-02 | 2015-09-17 | 박정근 | Correct posture guidance system |
| CN105997090A (en)* | 2016-04-29 | 2016-10-12 | 乐视控股(北京)有限公司 | Method and device for head-neck posture monitoring |
| CN206630612U (en)* | 2016-10-31 | 2017-11-14 | 广州大学 | A kind of smart motion vest device for detecting human motion posture |
| Title |
|---|
| 张洋: "《精通STM32F4:库函数版》", 30 April 2015, 北京航空航天大学出版社* |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106952449A (en)* | 2017-03-31 | 2017-07-14 | 柳州易农科技有限公司 | A kind of intelligent and safe vest |
| CN108597264A (en)* | 2017-12-28 | 2018-09-28 | 福州市鼓楼区智搜信息科技有限公司 | A kind of tutoring system and its implementation tracing review |
| CN108835725A (en)* | 2018-04-20 | 2018-11-20 | 佛山市长郡科技有限公司 | A kind of intelligent body-building clothes |
| CN109745053A (en)* | 2019-03-05 | 2019-05-14 | 珠海市鼎芯科技有限公司 | A human body state detection device and method |
| CN111968349A (en)* | 2020-07-02 | 2020-11-20 | 黄河交通学院 | Human body abnormal posture identification method and correction device based on six-axis sensor |
| CN114343622A (en)* | 2022-03-18 | 2022-04-15 | 龙旗电子(惠州)有限公司 | Intelligent monitoring method and device for clothes and human body shape |
| CN116098609A (en)* | 2022-08-17 | 2023-05-12 | 深圳市研祥潜动科技有限公司 | Action detection method, device, wearable equipment and system |
| CN115518358A (en)* | 2022-09-16 | 2022-12-27 | 中国人民解放军总医院京中医疗区 | Be used for wearing formula gesture correction equipment of running |
| Publication | Publication Date | Title |
|---|---|---|
| CN106344036A (en) | Intelligent running shirt device for detecting movement posture of human body and detecting method thereof | |
| CN206630612U (en) | A kind of smart motion vest device for detecting human motion posture | |
| US11123604B2 (en) | Apparatus for natural torso and limbs tracking and feedback for electronic interaction | |
| US11673022B2 (en) | Apparatus for natural torso and limbs tracking and feedback for electronic interaction | |
| CN107072379B (en) | Motion recognition device and method | |
| CN105068654B (en) | Action capture systems and method based on CAN bus and inertial sensor | |
| KR101858116B1 (en) | A postural balance training system | |
| CN105612475B (en) | Wrist-worn sports apparatus with gesture recognition and power management | |
| TWI669681B (en) | Electronic calculatiing apparatus, system, and method for providing body posture health information | |
| CN104436596A (en) | Exercise support device and exercise support method | |
| CN218793768U (en) | Body-building action detection system combining body-building equipment and auxiliary wearable device | |
| Kim et al. | Golf swing analysis system with a dual band and motion analysis algorithm | |
| CN110279420A (en) | Portable falling detection device and detection method based on extreme learning machine | |
| WO2016026440A1 (en) | Glove for use in collecting data for sign language recognition | |
| US10441208B2 (en) | Muscle power detection device and method for muscle power classification | |
| WO2016026450A1 (en) | Glove for use in collecting data for sign language recognition | |
| TWI625114B (en) | Motion recognition device and method | |
| CN210078765U (en) | Motion capture recognition and evaluation device based on wearable sensor | |
| CN217593739U (en) | Annular body-building equipment capable of detecting stretching and extrusion pressure change | |
| JP2017070723A (en) | Information processing method, information processing apparatus, and program | |
| CN110162172A (en) | A kind of equipment identifying athletic posture | |
| CN105843388B (en) | A kind of data glove system | |
| CN116189382A (en) | Fall detection method and system based on inertial sensor network | |
| CN107261463A (en) | Official, referee and umpire's gloves and interactive exhibition system | |
| CN116304544A (en) | Motion data calibration method and system |
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | Application publication date:20170125 |