Abstract :
This research implements wireless accelerometer sensor module and algorithm to determine wearer´s posture, activity and fall. Wireless accelerometer sensor module uses ADXL202, 2-axis accelerometer sensor (Analog Device). And using wireless RF module, this module measures accelerometer signal and shows the signal at ´Acceloger´ viewer program in PC. ADL algorithm determines posture, activity and fall that activity is determined by AC component of accelerometer signal and posture is determined by DC component of accelerometer signal. Those activity and posture include standing, sitting, lying, walking, running, etc. By the experiment for 30 subjects, the performance of implemented algorithm was assessed, and detection rate for postures, motions and subjects was calculated. Lastly, using wireless sensor network in experimental space, subject´s postures, motions and fall monitoring system was implemented. By the simulation experiment for 30 subjects, 4 kinds of activity, 3 times, fall detection rate was calculated. In conclusion, this system can be application to patients and elders for activity monitoring and fall detection and also sports athletes´ exercise measurement and pattern analysis. And it can be expected to common person´s exercise training and just plaything for entertainment.
Keywords :
accelerometers; biomedical measurement; gait analysis; patient monitoring; position measurement; wireless sensor networks; ADL algorithm; ADXL202 accelerometer sensor; Acceloger viewer program; exercise measurement; fall detection monitoring system; patient activity monitoring; posture determination; wireless RF module; wireless accelerometer sensor module; wireless sensor network; Accelerometers; Base stations; Biomedical measurements; Biomedical monitoring; RF signals; Radio frequency; Sensor phenomena and characterization; Sensor systems; Universal Serial Bus; Wireless sensor networks; Acceleration; Accidental Falls; Activities of Daily Living; Adult; Algorithms; Computer Communication Networks; Computers; Equipment Design; Female; Humans; Male; Monitoring, Ambulatory; Movement; Radio Waves; Software;
