RESEARCH ON SELF BALANCING VEHICLE CONTROL BASED ON KINECT HUMAN POSTURE RECOGNITION

Journal Title: Topics in Chemical & Material Engineering (TCME) - Year 2018, Vol 1, Issue 1

Abstract

The design of two wheeled self balancing vehicle was based on human posture recognition. The PC was used to obtain the human bone tracking data through Kinect camera and displayed it on the screen. By recognizing human movements or gesture, the result was concerted to control command and transmitted to the self balancing vehicle through Bluetooth, so that the vehicle can execute the movement of advancing, retreating and turning. The combination of human posture recognition technology and two wheeled self balancing vehicle can meet the needs of human-computer interaction control in complex environment and has a good reference value for the field of robot for surveying missions in complex environment.

Authors and Affiliations

Jiayi Li, Min Yan, Jianjun Zhu

Keywords

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  • EP ID EP414273
  • DOI 10.26480/icnmim.01.2018.130.132
  • Views 58
  • Downloads 0

How To Cite

Jiayi Li, Min Yan, Jianjun Zhu (2018). RESEARCH ON SELF BALANCING VEHICLE CONTROL BASED ON KINECT HUMAN POSTURE RECOGNITION. Topics in Chemical & Material Engineering (TCME), 1(1), 130-132. https://europub.co.uk/articles/-A-414273