Eyes Based Eletric Wheel Chair Control System- - I (eye) can control Electric Wheel Chair -
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2011, Vol 2, Issue 12
Abstract
Eyes base Electric Wheel Chair Control: EBEWC is proposed. The proposed EBEWC is controlled by human eyes only. Therefore disabled person can control the EBEWC by themselves. Most of the computer input system with human eyes only consider in specific condition and does not work in a real time basis. Moreover, it is not robust against various user races, illumination conditions, EWC vibration, and user's movement. Though experiments, it is found that the proposed EBEWC is robust against the aforementioned influencing factors. Moreover, it is confirmed that the proposed EBEWC can be controlled by human eyes only accurately and safely
Authors and Affiliations
Kohei Arai , Ronny Mardiyanto
Keywords
Related Articles
- EP ID EP140107
- DOI -
- Views 98
- Downloads 0
Economical Motivation and Benefits of using Load Shedding in Energy Management Systems
With declining fossil fuel consumption and rising energy demand for renewable energy, the need for integration of these highly predictable sources into the electricity system increases. At the same time, there is a rise...
Skip List Data Structure Based New Searching Algorithm and Its Applications: Priority Search
Our new algorithm, priority search, was created with the help of skip list data structure and algorithms. Skip list data structure consists of linked lists formed in layers, which were linked in a pyramidal way. The time...
An Enhancement on Mobile Social Network using Social Link Prediction with Improved Human Trajectory Internet Data Mining
Generally, the mobile social network has missing and unauthentic links. The prediction of those links is one of the major problems to understand the relationship between two nodes and recommends the potential links to th...
Determinants Impacting the Adoption of E-Government Information Systems and Suggesting Cloud Computing Migration Framework
This research intends to investigate underlying elements that effect the adoption of E-Government Information Systems in Board of Intermediate and Secondary Education (BISE), Pakistan. The study is grounded on the theory...
Prediction of Potential-Diabetic Obese-Patients using Machine Learning Techniques
Diabetes is a disease that is chronic. Improper blood glucose control may cause serious complications in diabetic patients as heart and kidney disease, strokes, and blindness. Obesity is considered to be a massive risk f...