MEMS Based Device For Physically Challenged
The mission statement is to design a cost-effective, scalable and portable MEMS based control system for the physically handicapped with high accuracy and programmability. The project focuses on finger movement recognition via displacement in different directions. Many approaches have been made using cameras and computer vision to interpret sign language. Gesture recognition is a way for machines to begin to understand human body language, thus building a richer bridge between human and machines. Approximately 6 million people in the world face the problem of disability due to paralysis of various degrees. The proposed work is to provide a wireless system that can be used by disabled people to control various devices using elementary motion of their finger. The system comprises of a Transmitter mounted on operator’s hand; employing a MEMS Accelerometer senses displacement signals and transmit through Xbee modules. The receiver is mounted conveniently and controls its motion based on control signals. The control signals are transmitted and received wirelessly using Wireless Radio Frequency Module (Xbee). The direction along x axis, y axis, z axis are real time detected by the software which in turn communicates to the various devices to function accordingly.
Keywords- Gesture Recognition, Wireless, MEMS Accelerometer