Movatterモバイル変換


[0]ホーム

URL:


CN109165595A - Dynamic sign language recognition device based on Kinect - Google Patents

Dynamic sign language recognition device based on Kinect
Download PDF

Info

Publication number
CN109165595A
CN109165595ACN201810973348.7ACN201810973348ACN109165595ACN 109165595 ACN109165595 ACN 109165595ACN 201810973348 ACN201810973348 ACN 201810973348ACN 109165595 ACN109165595 ACN 109165595A
Authority
CN
China
Prior art keywords
kinect
sign language
robot body
control center
driving mechanism
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201810973348.7A
Other languages
Chinese (zh)
Inventor
王德昌
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Anhui Institute of Information Engineering
Original Assignee
Anhui Institute of Information Engineering
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Anhui Institute of Information EngineeringfiledCriticalAnhui Institute of Information Engineering
Priority to CN201810973348.7ApriorityCriticalpatent/CN109165595A/en
Publication of CN109165595ApublicationCriticalpatent/CN109165595A/en
Pendinglegal-statusCriticalCurrent

Links

Classifications

Landscapes

Abstract

Translated fromChinese

本发明公开了一种基于Kinect的动态手语识别装置,包括:语音播报设备、驱动机构、机器人本体、Kinect设备和控制中心;其中,所述语音播报设备、驱动机构和Kinect设备电连接于所述控制中心,所述语音播报设备、驱动机构、Kinect设备和控制中心设置于所述机器人本体上;所述驱动机构带动所述机器人本体运动;所述Kinect设备进行人体手语的识别,并根据所述人体的手语执行语音播报。该基于Kinect的动态手语识别装置克服了现有技术中的识别度低,操作复杂的问题,实现了识别度高,操作简单的作用。

The invention discloses a dynamic sign language recognition device based on Kinect, comprising: a voice broadcast device, a driving mechanism, a robot body, a Kinect device and a control center; wherein the voice broadcast device, the driving mechanism and the Kinect device are electrically connected to the control center, and the voice broadcast device, the driving mechanism, the Kinect device and the control center are arranged on the robot body; the driving mechanism drives the robot body to move; the Kinect device recognizes human sign language and performs voice broadcast according to the human sign language. The dynamic sign language recognition device based on Kinect overcomes the problems of low recognition and complex operation in the prior art, and achieves the effects of high recognition and simple operation.

Description

Dynamic hand language recognition device based on Kinect
Technical field
The present invention relates to the application processing of Kinect, and in particular, to the dynamic hand language recognition device based on Kinect.
Background technique
With the fast development of computer technology in recent years, human-computer interaction becomes the important of computer technology research fieldComponent part.This technology mainly includes the identification of movement to the mankind, language, the identification of expression and sign language.Wherein sign language is knownThe a part not understood as Body Languages, there is an extremely important effect, on the one hand it be between deaf-mute and deaf-mute andMain exchange way between normal person, the important channel of another aspect human-computer interaction.
Traditional sign Language Recognition Method mainly has the methods of template matching, neural network, HMM, but these methods all existCertain deficiency needs to obtain the observation number in sampling feature vectors such as in training HMM model, and for differentIts depth image of sign language changes greatly, it is not easy to determine observation number.And it is frequent for the method for traditional Sign Language RecognitionIt is single use, this makes the precision of Sign Language Recognition and user experience not high.
Have at present by using data glove and obtain the feature and deliberate action of human hands, although by this methodAvailable higher recognition accuracy, but data glove has using complicated and expensive deficiency for nowPoint.
Summary of the invention
The object of the present invention is to provide a kind of the dynamic hand language recognition device based on Kinect, the dynamic based on KinectHand language recognition device overcomes that resolution in the prior art is low, problem complicated for operation, realizes resolution height, easy to operateEffect.
To achieve the goals above, the present invention provides a kind of dynamic hand language recognition device based on Kinect, this is based onThe dynamic hand language recognition device of Kinect includes: voice broadcast equipment, driving mechanism, robot body, Kinect device and controlCenter processed;Wherein, the voice broadcast equipment, driving mechanism and Kinect device are electrically connected to the control centre, institute's predicateSound casting equipment, driving mechanism, Kinect device and control centre are set on the robot body;The driving mechanism bandMove the robot body movement;The Kinect device carries out the identification of human body sign language, and is held according to the sign language of the human bodyRow voice broadcast.
Preferably, the robot body includes: top half and lower half portion;Wherein, the top half is set up inThe top of the lower half portion, and the voice broadcast equipment is set to the top of the top half, the Kinect deviceIt is set in the top half, and be collected towards multiple directions, the driving mechanism is set to the lower half portionBottom.
Preferably, the driving mechanism includes: four-wheel differentia driving machine, and the four-wheel differentia driving machine is set to the machineThe lower section of device human body to drive the movement of the robot body, and is electrically connected to the control centre, described in receivingThe control signal of control centre.
Preferably, the quantity of the Kinect device is multiple, and the dynamic sign language of the Kinect device acquires directionTowards multiple directions.
Preferably, the accommodating chamber matched with the control centre, and the receiving are provided on the robot bodyChamber being capable of backstop rainwater.
Preferably, the upper surface of the bottom of the robot body is additionally provided with battery rack, to hold battery, instituteIt states battery and is electrically connected to the voice broadcast equipment, Kinect device, driving mechanism and the control centre, to provide workVoltage.
Preferably, it is somebody's turn to do the dynamic hand language recognition device based on Kinect further include: radio transmitting device, the wireless transmissionDevice is connected to the control centre, and the human body sign language identified is wirelessly transmitted to outside.
Preferably, the Kinect device obtains human skeleton data and relevant depth information obtains hand position, benefitHand is detected and is tracked with Kinect, then extracts hand-characteristic, and pre-processed, finally extract gesture feature toParameter is measured, and carries out the dynamic Sign Language Recognition based on HMM and SVM.
According to the above technical scheme, the more traditional recognition methods of dynamic hand language recognition device of the invention has equipment costLower, easy to operate, accuracy of identification is higher, the preferable feature of user experience.More traditional dynamic sign Language Recognition Method, this hairThe bright method using HMM model and SVM models coupling, improves the accuracy of identification;Equipment used in the present invention isKinect has the characteristics that cost is relatively low and easy to operate compared to other relevant devices.
Other features and advantages of the present invention will the following detailed description will be given in the detailed implementation section.
Detailed description of the invention
The drawings are intended to provide a further understanding of the invention, and constitutes part of specification, with following toolBody embodiment is used to explain the present invention together, but is not construed as limiting the invention.In the accompanying drawings:
Fig. 1 is the structural schematic diagram for illustrating a kind of indoor acoustic location device based on Kinect of the invention.
Description of symbols
1 robot body, 2 driving mechanism
11 top half, 12 lower half portion
3 voice broadcast equipment
Specific embodiment
Below in conjunction with attached drawing, detailed description of the preferred embodiments.It should be understood that this place is retouchedThe specific embodiment stated is merely to illustrate and explain the present invention, and is not intended to restrict the invention.
In the present invention, in the absence of explanation to the contrary, the noun of locality be included in the term " up and down " etc. is onlyRepresent orientation of the term under normal service condition, or be those skilled in the art understand that be commonly called as, and be not construed as to thisThe limitation of term.
The present invention provides a kind of dynamic hand language recognition device based on Kinect, which is characterized in that should be based on Kinect'sDynamic hand language recognition device includes: voice broadcast equipment, driving mechanism, robot body, Kinect device and control centre;ItsIn, the voice broadcast equipment, driving mechanism and Kinect device are electrically connected to the control centre, and the voice broadcast is setStandby, driving mechanism, Kinect device and control centre are set on the robot body;The driving mechanism drives the machineDevice human body movement;The Kinect device carries out the identification of human body sign language, and executes voice according to the sign language of the human body and broadcastReport.
According to the above technical scheme, the more traditional recognition methods of dynamic hand language recognition device of the invention has equipment costLower, easy to operate, accuracy of identification is higher, the preferable feature of user experience.More traditional dynamic sign Language Recognition Method, this hairThe bright method using HMM model and SVM models coupling, improves the accuracy of identification;Equipment used in the present invention isKinect has the characteristics that cost is relatively low and easy to operate compared to other relevant devices.
In a kind of specific embodiment of the invention, in order to realize upper and lower differentiation, facilitate the fixation of Kinect device,The robot body may include: top half and lower half portion;Wherein, the top half is set up in the lower half portionTop, and the voice broadcast equipment is set to the top of the top half, and the Kinect device is set on describedIt in half part, and is collected towards multiple directions, the driving mechanism is set to the bottom of the lower half portion.
In a kind of specific embodiment of the invention, the driving mechanism may include: four-wheel differentia driving machine, describedFour-wheel differentia driving machine is set to the lower section of the robot body, to drive the movement of the robot body, and is electrically connectedIt is connected to the control centre, to receive the control signal of the control centre.By above-mentioned mode, may be implemented to turn to fortuneIt is dynamic, driving movement may be implemented.
In a kind of specific embodiment of the invention, in order to realize the video data acquiring of multi-angle, the KinectThe quantity of device is multiple, and the dynamic sign language of the Kinect device acquires direction towards multiple directions.
In a kind of specific embodiment of the invention, in order to accommodate control centre, it is prevented to be soaked with rain, the machineThe accommodating chamber matched with the control centre is provided on device human body, and the accommodating chamber being capable of backstop rainwater.
In a kind of specific embodiment of the invention, in order to facilitate the placement of battery, the bottom of the robot bodyThe upper surface in portion is additionally provided with battery rack, to hold battery, the battery be electrically connected to the generation source device,Kinect device, driving mechanism and the control centre, to provide operating voltage.
In a kind of specific embodiment of the invention, being somebody's turn to do the dynamic hand language recognition device based on Kinect can also be wrappedInclude: radio transmitting device, the radio transmitting device are connected to the control centre, and the human body sign language identified is wirelessly passedTransport to outside.
By above-mentioned mode, the wireless transmission of data may be implemented, data can be allowed to transfer out.
In a kind of specific embodiment of the invention, the Kinect device obtains human skeleton data and correlation is deepDegree information obtains hand position, and hand is detected and tracked using Kinect, then extracts hand-characteristic, and located in advanceReason finally extracts gesture feature vector parameter, and carries out the dynamic Sign Language Recognition based on HMM and SVM.
The present invention is used for human-computer interaction.For exchanging between deaf-mute and between deaf-mute and normal person.And it can useIn deaf-mute or normal person's training sign language.
It is described the prefered embodiments of the present invention in detail above in conjunction with attached drawing, still, the present invention is not limited to above-mentioned realitiesThe detail in mode is applied, within the scope of the technical concept of the present invention, a variety of letters can be carried out to technical solution of the present inventionMonotropic type, these simple variants all belong to the scope of protection of the present invention.
It is further to note that specific technical features described in the above specific embodiments, in not lanceIn the case where shield, can be combined in any appropriate way, in order to avoid unnecessary repetition, the present invention to it is various canNo further explanation will be given for the combination of energy.
In addition, various embodiments of the present invention can be combined randomly, as long as it is without prejudice to originallyThe thought of invention, it should also be regarded as the disclosure of the present invention.

Claims (8)

Translated fromChinese
1.一种基于Kinect的动态手语识别装置,其特征在于,该基于Kinect的动态手语识别装置包括:语音播报设备、驱动机构、机器人本体、Kinect设备和控制中心;其中,所述语音播报设备、驱动机构和Kinect设备电连接于所述控制中心,所述语音播报设备、驱动机构、Kinect设备和控制中心设置于所述机器人本体上;所述驱动机构带动所述机器人本体运动;所述Kinect设备进行人体手语的识别,并根据所述人体的手语执行语音播报。1. a dynamic sign language recognition device based on Kinect, is characterized in that, this dynamic sign language recognition device based on Kinect comprises: voice broadcast equipment, drive mechanism, robot body, Kinect equipment and control center; Wherein, described voice broadcast equipment, The driving mechanism and the Kinect equipment are electrically connected to the control center, and the voice broadcasting equipment, the driving mechanism, the Kinect equipment and the control center are arranged on the robot body; the driving mechanism drives the robot body to move; the Kinect equipment The human body sign language is recognized, and the voice broadcast is performed according to the human body sign language.2.根据权利要求1所述的基于Kinect的室内声波定位装置,其特征在于,所述机器人本体包括:上半部分和下半部分;其中,所述上半部分架设于所述下半部分的上方,且所述语音播报设备设置于所述上半部分的顶部,所述Kinect设备设置于所述上半部分中,并朝向多个方向进行收集,所述驱动机构设置于所述下半部分的底部。2 . The Kinect-based indoor acoustic wave positioning device according to claim 1 , wherein the robot body comprises: an upper half and a lower half; wherein, the upper half is erected on the lower part of the lower half. 3 . above, and the voice announcement device is arranged on the top of the upper half, the Kinect device is arranged in the upper half, and collects in multiple directions, and the driving mechanism is arranged on the lower half bottom of.3.根据权利要求1所述的基于Kinect的室内声波定位装置,其特征在于,所述驱动机构包括:四轮差速驱动机,所述四轮差速驱动机设置于所述机器人本体的下方,以带动所述机器人本体的运动,并且电连接于所述控制中心,以接收所述控制中心的控制信号。3 . The Kinect-based indoor acoustic wave positioning device according to claim 1 , wherein the driving mechanism comprises: a four-wheel differential driver, and the four-wheel differential driver is arranged below the robot body. 4 . , to drive the movement of the robot body, and electrically connected to the control center to receive control signals from the control center.4.根据权利要求1所述的基于Kinect的室内声波定位装置,其特征在于,所述Kinect装置的数量为多个,且所述Kinect装置的动态手语采集方向朝向多个方向。4 . The Kinect-based indoor acoustic wave positioning device according to claim 1 , wherein the number of the Kinect devices is multiple, and the dynamic sign language acquisition directions of the Kinect devices face multiple directions. 5 .5.根据权利要求1所述的基于Kinect的室内声波定位装置,其特征在于,所述机器人本体上设置有与所述控制中心相配合的容纳腔,且所述容纳腔能够止挡雨水。5 . The Kinect-based indoor acoustic wave positioning device according to claim 1 , wherein the robot body is provided with a accommodating cavity matched with the control center, and the accommodating cavity can block rainwater. 6 .6.根据权利要求1所述的基于Kinect的室内声波定位装置,其特征在于,所述机器人本体的底部的上表面还设置有电池放置架,以盛放蓄电池,所述蓄电池电连接于所述语音播报设备、Kinect装置、驱动机构和所述控制中心,以提供工作电压。6. The indoor acoustic wave positioning device based on Kinect according to claim 1, characterized in that, the upper surface of the bottom of the robot body is also provided with a battery placement rack to hold a battery, and the battery is electrically connected to the Voice announcement equipment, Kinect device, drive mechanism and said control center to provide working voltage.7.根据权利要求1所述的基于Kinect的室内声波定位装置,其特征在于,该基于Kinect的动态手语识别装置还包括:无线传输装置,所述无线传输装置连接于所述控制中心,以将所识别的人体手语无线传输至外部。7. The Kinect-based indoor acoustic wave positioning device according to claim 1, wherein the Kinect-based dynamic sign language recognition device further comprises: a wireless transmission device, the wireless transmission device is connected to the control center to The recognized human sign language is wirelessly transmitted to the outside.8.根据权利要求1所述的基于Kinect的室内声波定位装置,其特征在于,所述Kinect设备获取人体的骨骼数据和相关深度信息得到手部位置,利用Kinect对手部进行检测和追踪,然后提取手部特征,并进行预处理,最后提取手势特征向量参数,并进行基于HMM和SVM的动态手语识别。8. The indoor acoustic wave positioning device based on Kinect according to claim 1, is characterized in that, described Kinect equipment obtains the skeletal data of human body and relevant depth information to obtain hand position, utilizes Kinect to detect and track hand, then extracts. The hand features are preprocessed, and finally the gesture feature vector parameters are extracted, and dynamic sign language recognition based on HMM and SVM is performed.
CN201810973348.7A2018-08-242018-08-24Dynamic sign language recognition device based on KinectPendingCN109165595A (en)

Priority Applications (1)

Application NumberPriority DateFiling DateTitle
CN201810973348.7ACN109165595A (en)2018-08-242018-08-24Dynamic sign language recognition device based on Kinect

Applications Claiming Priority (1)

Application NumberPriority DateFiling DateTitle
CN201810973348.7ACN109165595A (en)2018-08-242018-08-24Dynamic sign language recognition device based on Kinect

Publications (1)

Publication NumberPublication Date
CN109165595Atrue CN109165595A (en)2019-01-08

Family

ID=64896760

Family Applications (1)

Application NumberTitlePriority DateFiling Date
CN201810973348.7APendingCN109165595A (en)2018-08-242018-08-24Dynamic sign language recognition device based on Kinect

Country Status (1)

CountryLink
CN (1)CN109165595A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN110202592A (en)*2019-07-022019-09-06江苏博子岛智能产业技术研究院有限公司A kind of AI mobile medical service robot

Citations (4)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN105807926A (en)*2016-03-082016-07-27中山大学Unmanned aerial vehicle man-machine interaction method based on three-dimensional continuous gesture recognition
CN106570473A (en)*2016-11-032017-04-19深圳量旌科技有限公司Deaf-mute sign language recognition interactive system based on robot
CN107092349A (en)*2017-03-202017-08-25重庆邮电大学A kind of sign Language Recognition and method based on RealSense
CN108406798A (en)*2018-03-152018-08-17西安工业大学A kind of man-machine interactive system of Service Robots

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN105807926A (en)*2016-03-082016-07-27中山大学Unmanned aerial vehicle man-machine interaction method based on three-dimensional continuous gesture recognition
CN106570473A (en)*2016-11-032017-04-19深圳量旌科技有限公司Deaf-mute sign language recognition interactive system based on robot
CN107092349A (en)*2017-03-202017-08-25重庆邮电大学A kind of sign Language Recognition and method based on RealSense
CN108406798A (en)*2018-03-152018-08-17西安工业大学A kind of man-machine interactive system of Service Robots

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
JIANG, HANNI 等: "Adaptive key frame extraction from RGB-D for hand gesture recognition", 《PROCEEDINGS OF SPIE》*
郭晓利 等: "基于Kinect深度信息的动态手势识别", 《东北电力大学学报》*

Cited By (2)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN110202592A (en)*2019-07-022019-09-06江苏博子岛智能产业技术研究院有限公司A kind of AI mobile medical service robot
WO2021000657A1 (en)*2019-07-022021-01-07江苏博子岛智能产业技术研究院有限公司Ai mobile medical service robot

Similar Documents

PublicationPublication DateTitle
Chai et al.Sign language recognition and translation with kinect
Fang et al.Deepasl: Enabling ubiquitous and non-intrusive word and sentence-level sign language translation
Li et al.A web-based sign language translator using 3d video processing
Zheng et al.Recent advances of deep learning for sign language recognition
WO2020052319A1 (en)Target tracking method, apparatus, medium, and device
CN203300127U (en)Children teaching and monitoring robot
CN103794106B (en)Instrument playing assisted teaching system
CN102831380A (en)Body action identification method and system based on depth image induction
CN107678550A (en)A kind of sign language gesture recognition system based on data glove
CN105919591A (en)Surface myoelectrical signal based sign language recognition vocal system and method
Sedighi et al.An RFID-based assistive glove to help the visually impaired
LaViola JrContext aware 3D gesture recognition for games and virtual reality
CN105709376B (en)Intelligent training equipment
US20230280835A1 (en)System including a device for personalized hand gesture monitoring
Maekawa et al.WristSense: wrist-worn sensor device with camera for daily activity recognition
Kumar et al.A Deep Learning Based Model to Assist Blind People in Their Navigation.
CN103279734A (en)Novel intelligent sign language translation and man-machine interaction system and use method thereof
CN106236554A (en)Child massage crux data detection device
JP5846552B2 (en) Sign language recognition method and apparatus
CN105118356B (en)A kind of gesture language-voice conversion method and device
CN109165595A (en)Dynamic sign language recognition device based on Kinect
CN109758154A (en)A kind of motion state determines method, apparatus, equipment and storage medium
CN112230777A (en) A Cognitive Training System Based on Non-contact Interaction
Oliva et al.Filipino sign language recognition for beginners using kinect
CN109325411A (en)Dynamic sign language identification method based on Kinect

Legal Events

DateCodeTitleDescription
PB01Publication
PB01Publication
SE01Entry into force of request for substantive examination
SE01Entry into force of request for substantive examination
RJ01Rejection of invention patent application after publication
RJ01Rejection of invention patent application after publication

Application publication date:20190108


[8]ページ先頭

©2009-2025 Movatter.jp