Accelerometer Based Gesture Recognisation for Wheel Chair Direction Control Using ZIGBEE Protocol

Abstract

The aim of this work is to implement wheel chair direction control with hand gesture reorganization This paper proposes an integrated approach to real time detection, tracking and direction recognition of hands, which is intended to be used as a human-robot interaction interface for the intelligent wheelchair. This paper demonstrates that accelerometers can be used to effectively translate finger and hand gestures into computer interpreted signals. For gesture recognition the accelerometer data is calibrated and filtered. The accelerometers can measure the magnitude and direction of gravity in addition to movement induced acceleration. In order to calibrate the accelerometers, we rotate the device’s sensitive axis with respect to gravity and use the resultant signal as an absolute measurement.

Authors and Affiliations

Javajji Veeraiah| V.K.R,V.N.B&A.G.K College Of Engineering Gudiwada, India, P. V. N Aravind Syam| V.K.R,V.N.B&A.G.K College Of Engineering Gudiwada, India, N. Naga Durga| V.K.R,V.N.B&A.G.K College Of Engineering Gudiwada, India, K. Ravi Kanth| V.K.R,V.N.B&A.G.K College Of Engineering Gudiwada, India, G. Vasudha| V.K.R,V.N.B&A.G.K College Of Engineering Gudiwada, India

Keywords

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  • EP ID EP8473
  • DOI -
  • Views 405
  • Downloads 27

How To Cite

Javajji Veeraiah, P. V. N Aravind Syam, N. Naga Durga, K. Ravi Kanth, G. Vasudha (2013). Accelerometer Based Gesture Recognisation for Wheel Chair Direction Control Using ZIGBEE Protocol. The International Journal of Technological Exploration and Learning, 2(2), 104-108. https://europub.co.uk/articles/-A-8473