The Analysis of G-Sensor by Discrete Cosine Transform for Fall Event on Smart Phone

Fall detection is one of the major issues in health care filed. Falls can cause serious injury both in physiology and psychology, especially to the old people. A reliable fall detector can provide rapid emergency medical care for the fallen down people. Thus, a reliable and effectively fall detection system is necessary. Smart phones become one of the necessities in daily life. People use the smart phone to communicate and enjoy the entertainment. Most of the smart phones are equipped with G-sensor to detect the gravity in tri-axis. In this paper, we analyze the signal from the G-sensor of tri-axial accelerometer by Discrete Cosine Transform (DCT) to detect the occurrence of fall from the activities of daily living (ADL), consisting of walking, standing and sitting. Experimental results show that the result of analysis can help to detect the falls effectively.