Accelerometer-Based Surface Less Control Interface in Electronics

Abstract

As computation is getting to play an important role in enhancing the quality of life, more and more research has been directed towards natural human-computer interaction. In a smart environment, people usually hope to use the most natural and convenient ways to express their intentions and interact with the System. Most of previous work on gesture recognition has been based on computer vision techniques.  However, the performance of such vision-based approaches depends strongly on the lighting condition and camera facing angles, which greatly restricts its applications in the smart environments. With “S.L.I.C.E” we aim to overcome these restrictions. S.L.I.C.E proposes an accelerometer-based surface less control interface for computer systems. As a pre-process procedure, raw data output from accelerometer is recorded, processed in the Processor and transmitted to the Computer System wirelessly. For this purpose, a Bluetooth device is used which will transmit the processed data. Based upon this gesture is treated as a method of human-computer interaction and it is used to control computer systems. Further Gesture-Semantic Map is established, standard gestures are trained which finally results in recognition. The system will be able to recognize input gestures with increased speed and reliable recognition rate. This will enable the user to perform most of the typical interaction tasks in virtual environment by this accelerometer-based device without any contact with surface or the system.