Autonomous Multiple Gesture Recognition System for Disabled People

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Amarjot Singh 1,* John Buonassisi 1 Sukriti Jain 2

1. School of Engineering Science, Simon Fraser University, Burnaby, Canada.

2. Dept of Electronics and Communication Engineering, 3 Ambedkar Institute of Advanced Communication technologies and research, GGSIPU, India

* Corresponding author.


Received: 19 Sep. 2013 / Revised: 5 Nov. 2013 / Accepted: 10 Dec. 2013 / Published: 8 Jan. 2014

Index Terms

Gesture Recognition, Motion Tracking, Robot, Disability


The paper presents an intelligent multi gesture spotting system that can be used by disabled people to easily communicate with machines resulting into easement in day-to-day works. The system makes use of pose estimation for 10 signs used by hearing impaired people to communicate. Pose is extracted on the basis of silhouettes using timed motion history (tMHI) followed by gesture recognition with Hu-Moments. Signs involving motion are recognized with the help of optical flow. Based on the recognized gestures, particular instructions are sent to the robot connected to system resulting into an appropriate action/movement by the robot. The system is unique as it can act as a assisting device and can communicate in local as well as wide area to assist the disabled person.

Cite This Paper

Amarjot Singh,John Buonassisi,Sukriti Jain,"Autonomous Multiple Gesture Recognition System for Disabled People", IJIGSP, vol.6, no.2, pp.39-45, 2014. DOI: 10.5815/ijigsp.2014.02.05


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