Tri-Axis Motion Detection using MEMS for Unwired Mouse Navigation System in the Future Generation Machines

2 Abstract: The Human-Computer Interaction (HCI) is a field in which the developer makes a user friendly system. In this paper, a real-time Human-Computer Interaction based on the hand data glove gesture recognition is proposed. This paper presents a wearable prototype model for Hand gesture recognition system using MEMS which is capable of recognizing eight hand gesture, based on the signal from 3-axes MEMS accelerometer. The accelerations of a hand motion in three perpendicular directions are detected by accelerometers and acceleration values were transmitted to microcontroller. An automatic gesture recognition algorithm is developed to identify individual gestures in a sequence. Finally, the gesture is recognized by comparing the acceleration values with the stored templates. According to recognized gestures, respective commands are performed. HCI is becoming more and more natural and intuitive to be used. The important part of body that is hand is most frequently used as interaction in digital environment and thus complexity and flexibility of motion of hand is a research topic(5). The gestures classified are clicking, dragging, rotating, pointing and ideal position. Recognizing these gestures relevant actions are taken, such as air writing and 3D sketching by tracking the path. The results show that glove used for interaction is better than normal static keyboard and mouse as the interaction process is more accurate and natural. Also it enhances the user's interaction and immersion feeling by eye blink sensor.