Indian Journal of Science and Technology
Year: 2016, Volume: 9, Issue: 21, Pages: 1-7
Gurjot Singh Gaba, Paramdeep Singh and Sandeep Kumar Arora*
Discipline of Electronics and Electrical Engineering, [email protected]
*Author For Correspondence
Sandeep Kumar Arora
Discipline of Electronics and Electrical Engineering
This paper highlights various physical disorders and its associated disabilities. Plenty of wheel chair have been designed so far. A wheel chair which can assist the disabled people in their day to day life became a necessity. It is possible if their other organs of the body assist the electronic gadgets. Proposed method helps the physically challenged people to make their journey through electronic assisted module whichworks on signal processing over speech and image. This system works via speech or through recognition of hand gesture. To overcome the loss of signal because of real time inputs, different signal enhancement techniques are introduced to achieve high rate of accuracy and stability. The system’s response time is very much considerable as the delays of the system are quite reduced. The operating system created to work on gestures and speech was tested on the test bed with different sets of data. Results marked prominent impression over the conventional ones with accuracy rate of 84.66% in case of image processing and 82.33% in speech signal processing.The refinement of the electronic wheelchair is going to definitely help many suffering from the disease.
Keywords: Disability, Electronic Wheelchair, Feature Extraction, Motion Detection, Signal Enhancement
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