Wearable Posture Identification System for Good Sitting Position

Abstract

Every human spends most of their time remain seated especially students. A good posture during seated is important to determine the human health, while a bad posture during seated posture can lead to numerous diseases. This paper explained the design and development of wearable posture identification system using accelerometers to determine the good human posture in a seated position. Two accelerometers were used to determine the posture of an individual. The first accelerometer was placed on the human lumbar spine while the second accelerometer was placed on the human cervical spine. The calculation of the angle in determining the posture was processed using Arduino. There is three experiment was conducted: calibration test, performance measurement test and real-time analysis test. The calibration test was conducted to determine the percentage error of the accelerometer when compared with goniometer at static condition. The second experiment was conducted to determine the percentage error of between accelerometer and electrogoniometer at the dynamic condition. The third experiment was conducted to test the accelerometer in real life environment. The result showed that accelerometer has the percentage error less than 3% when compared to goniometer and electrogoniometer. This system can monitor and identify the good and bad sitting posture.