PROJECT TITLE :

A Wearable Gesture Recognition Device for Detecting Muscular Activities Based on Air-Pressure Sensors

ABSTRACT:

Recognition of human gestures plays an necessary role in a range of human-interactive applications, like mobile phones, health monitoring systems, and human-assistive robots. Electromyography (EMG) is one in every of the most common and intuitive strategies used for detecting gestures based mostly on muscle activities. The EMG, but, is normally, too sensitive to environmental disturbances, such as electrical noise, electromagnetic signals, humidity, and therefore on. During this paper, a replacement method for recognizing the muscular activities is proposed primarily based on air-pressure sensors and air-bladders. The muscular activity is detected by measuring the change of the air pressure in an air-bladder contacting the interested muscle(s). Since the change of the air pressure can be more robustly measured compared with the change of electrical signals appeared on the skin, the proposed sensing method is useful for mobile devices due to its nice signal-to-noise ratio (SNR) and quick response time. The principle and applications of the proposed sensing method are introduced during this paper. The performance of the proposed methodology is evaluated in terms of linearity, repeatability, wear-comfort, etc., and is also verified by comparing it with an EMG signal and a motion sensor.