Development of automatic voice activated low cost wheelchair using intelligent standalone controlling system and Interfaces (Embedded LabVIEW and Compact Reconfigurable Input/Output FPGA Card-cRIO-9074) for physically impaired people is presented in this paper. Various interfaces to control the powered wheelchair were proposed in the past since the voice is the most natural communication ways for person so our study pays more attention to speech recognition. The voice commands produced by the user are captured and processed by the intelligent system. The system is integrated with Ultrasonic sensor and IR sensor for obstacle detection and path finding. © 2012 IEEE.

Kathirvelan J

Department of Sensor and Biomedical Technology

School of Electronics Engineering

Vellore Campus

Anilkumar G

Department of Integrative Biology

School of Bio Sciences and Technology

Zachariah C Alex

Fazul A.

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Development of low cost automatic wheelchair controlled by oral commands using standalone controlling system

2012 IEEE International Conference on Computational Intelligence and Computing Research

A vital perception in designing human-machine interfaces for people with disabilities is hands-free control. It is important in setting up communication among a machine and the part of human body. Nowadays, hands-free control is extensively used to help disabled people to control the wheelchair. The hands-free control functions are not only helpful to elderly and disabled, but also useful for normal people who might require using their hands for other tasks at the same time. As a result, normal people are capable of manipulating multiple tasks at the same time. The wheelchair is manoeuvred using brainwaves, eyes and facial muscles movements, voice, tongue, gesture. The mobility using a powered wheelchair improves the quality of life of the aged people and the people with mobility impairments significantly. These powered wheelchairs can be actuated using various high-level control interfaces. In this review, the use of natural biological signals and non-biological signal to do the hands-free control of powered wheelchair is presented in this article.

Journal of Medical Engineering & Technology

High-level hands-free control of wheelchair – a review

The aim of this study is to present a system of controlled and automated heating using intelligent standalone controlling system and Interfaces (Embedded LabVIEW and Compact Reconfigurable Input/output FPGA Card-cRIO-9274). As Voice control is regarded as most convenient controlling option for human nature. The voice acquisition is made using microphone, the Microsoft SDK captures the voice and integrates it with the VI. The hardware consists of K-type thermocouple, Contact type level sensor for controlling process variables and NI-DAQ cards for signal acquisition. © Maxwell Scientific Organization, 2014.

Fulltext

Research Journal of Applied Sciences, Engineering and Technology

Development of Voice Controlled Automated Geyser Using Standalone Controlling System

2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE)

Low cost speech and vision based wheel chair for physically challenged

Proceedings of the 1st international convention on Rehabilitation engineering & assistive technology in conjunction with 1st Tan Tock Seng Hospital Neurorehabilitation Meeting - i-CREATe '07

Microcontroller based voice-activated powered wheelchair control

Journal of Intelligent and Robotic Systems

10.1023/a:1016363605613

IEEE Transactions on Industrial Electronics

System design consideration for digital wheelchair controller

Autonomous Robots

Wheelchair for physically disabled people with voice, ultrasonic and infrared sensor control

Journal	Data powered by Typeset2012 IEEE International Conference on Computational Intelligence and Computing Research
Publisher	Data powered by TypesetIEEE
Open Access	0