
Gestures Controlled Audio Assistive Software for the Voice Impaired and Paralysis Patients
Author(s) -
Oinam Robita Chanu,
Shubhanvit Mishra,
Nilkantha Gupta,
Nyelham Lhazay
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1362/1/012029
Subject(s) - gesture , computer science , software , multimedia , human–computer interaction , speech recognition , artificial intelligence , programming language
Voice impairment is a barrier to the treatment of old age neurodegenerative disorders and paralysis where patients fail to convey their thoughts to doctors and caretaker. Though voice enhancers are available it’s very costly. The aim of our research work is to develop a ‘Gestures Controlled Audio Assistive Software’ (GECAS) which make the subject’s life easier and available free of cost to the people. The objective is to design software which enables severe cerebral palsy and also the voice impaired people to vocalize their basic needs like water, food, doctor and lavatory through a facial and body gesture. Our designed software is compartmentalized into two modules; one detecting subject’s gestures using Camera mouse and the other responding in audio output. It is created using Microsoft Visual Studio 2015 (a freemium platform) which open sourced. The designed software is implemented and tested on 32 subjects and the result was analyzed using statistical tool Minitab. The conclusion of the result showed impaired patients can operate the software as effectively and efficiently as a normal person which may help the subject to live more independent life and make their treatment easier.