Eye Monitored Wheel Chair Control for Physically Handicapped
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2015, Vol 3, Issue 3
Abstract
The aim of the project to make lives of the physically handicapped people simple and simpler which will make them self reliant thereby reinstate their confidence and their happiness. an Eye Monitored System is created which allows movement of the patient’s wheelchair depending on the eye movements. A new assembly is presented where a patient sitting on the Wheel Chair assembly looking directly at the camera, is able to move in a direction just by looking in that direction. The system is cost effective and thus can be used by patients spread over a large economy range.
Authors and Affiliations
Ms. Humera Mujawar, Ms. Tanaya Patil, Ms. Pooja Patil, Mr. Dinesh. O. Shirsath, Mrs. S. S. Sankpal
Keywords
Related Articles
- EP ID EP748792
- DOI -
- Views 40
- Downloads 0
Implementation of UPFC, UPFC Along with PI and Fuzzy Based Controllers in Three Area Interconnected Power Systems for Load Frequency Control
In this paper, the author intends to present the application of Unified Power Factor Controllers (UPFC) to control the frequency of three area interdependent and interconnected reheat and hydro systems by controlling the...
Algorithm for Low Power IO port Design by Using CGT
The Clock power is a major component of microprocessor power mainly because the clock is fed to most of the circuit blocks in the processor, and the clock switches every cycle. Thus the total clock power is a substantial...
Implementation of Speech Recognition System on Raspberry Pi
[1] V.Amudha, B.Venkataramani, R.Vinoth Kumar and S. Ravishankar,“SOC Implementation of HMM Based Speaker Independent Isolated Digit Recognition System”, in Proc. of IEEE Int. Conf. on VLSI Design VLSI’07, Tiruchirappall...
A Review Article On Enhancing Email Spam Filter’s Accuracy Using Machine Learning
In today’s era, almost everyone is using emails on their daily basis. In our proposed research, we suggest a machine learning-based strategy for enhancing email spam filters' accuracy. Traditional rule-based filters have...
Deep Learning-Based Chip Power Prediction and Optimization: An Intelligent EDA Approach
This paper explores the integration of deep learning techniques in Electronic Design Automation (EDA) tools, focusing on chip power prediction and optimization. We investigate the application of advanced AI technologies,...