Automatic Wheelchair using Gesture Recognition
Rakhi A. Kalantri1, D.K. Chitre2
1Rakhi A. Kalantri, Lecturer, Department of CSE, Fr. C.R.I.T. Vashi, Mumbai Maharastra, India.
2D.K. Chitre, Assoc. Professor, Department of CSE, Terna Engineering, Collge, Nerul, Mumbai Maharastra, India.
Manuscript received on July 22, 2013. | Revised Manuscript received on August 02, 2013. | Manuscript published on August 30, 2013. | PP: 146-150 | Volume-2, Issue-6, August 2013. | Retrieval Number: F2003082613/2013©BEIESP
Open Access | Ethics and Policies | Cite
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The needs of many individuals with disabilities can be satisfied with traditional manual or powered wheelchairs, a segment of the disabled community finds it difficult or impossible to use wheelchairs. There is extensive research on computer-controlled chairs where sensors and intelligent control algorithms have been used to minimize the level of human intervention. This project describes a wheelchair for physically disabled people. Our goal is to design and develop a system that allows the user to robustly interact with the wheelchair at different levels of the control and sensing. A dependent-user recognition using Head movements and infrared sensor integrated with wheelchair. A wheelchair can be driven using acceleration sensor and Head Movements with the possibility of avoiding obstacles. Our project Automatic wheelchair basically works on the principle of acceleration, one acceleration sensor, provides two axis, acceleration sensors whose output varies according to acceleration applied to it, by applying simple formula we calculate the amount of tilt & output of tilt will decide to move in which direction. Sensor gives x-axis & y-axis o/p independently which is fed to ADC & then µC & depending on the pulse width it decides to move or not. On chair Obstacle sensors will be installed. Total 4 sensors will be installed for detection of wall/obstacle in the forward, backward, left & right direction. We are trying to build a controlled wheelchair; the system will understand and obeys natural language motion commands such as “Take a right.” Various technologies are used for developing such a system.
Keywords: AT89C51 microcontroller MAX232 for protocol conversion, acceleration sensor L293D driver IC, 12v DC power supply, Serial cable, Kiel uv3 for Embedded „C‟ programming.