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Personalized Gesture Recognition with Hidden Markove Model and Dynamic Time Warping

Author(s):

Shubhangi S. Marudkar , Sipna C.O.E.T.

Keywords:

Upper Extremity Impairments, Gesture Recognition

Abstract

Spinal cord injury, brain injury and strokes can cause upper extremity mobility impairment. Because of these the person suffering from becomes paralyzed and unable to do their daily routines. There are some existing assisting technology solutions to provide access as user input but mostly they are intrusive and expensive and some requires physical contact which can have dangerous effects such as skin friction injury for the paralyzed selection users. Our system allows user for selection of gestures, we are using Hidden Markove model and Dynamic Time Warping to convert raw capacitance values to alphanumeric gestures.

Other Details

Paper ID: IJSRDV4I21100
Published in: Volume : 4, Issue : 2
Publication Date: 01/05/2016
Page(s): 829-831

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