Wireless Measurement of Human Motion Based on PDA
Myong-Ho Lee, Nam‐Jin Kim, Hwun-Jae Lee, Gae-Whan Jin, Sam-Ual Lee, Jun-Hang Lee, Sang-Bock Lee, Tae-Soo Lee · 2007
In this study, wireless measurement technique for human motion was developed to monitor movement disorder patients during their daily life. MICA, TinyOS, and nesC, developed by UC Berkeley, were used as wireless sensor, its software platform, and programming language. The human motion data, generated by two axial accelerometer(ADXL202) was transmitted to PDA(iPaq3630) by 916Mhz short range communication chip(TR1000). It could be stored at PDA by simple Windows CE programming. To test the developed device, it was attached at human chest and the acquired data was shown as a graph during his motion of sitting, standing, and lying. The result showed that human motion could be logged without any hooking and constraints. Therefore, this device can be used to monitor patient's movement disorder and activity of daily life(ADL).