Title :
Unrestrained Measurement of Arm Motion Based on a Wearable Wireless Sensor Network
Author :
Lee, Guo Xiong ; Low, Kay Soon ; Taher, Tawfiq
Author_Institution :
Nanyang Technol. Univ., Singapore, Singapore
fDate :
5/1/2010 12:00:00 AM
Abstract :
Techniques that could precisely monitor human motion are useful in applications such as rehabilitation, virtual reality, sports science, and surveillance. Most of the existing systems require wiring that restrains the natural movement. To overcome this limitation, a wearable wireless sensor network using accelerometers has been developed in this paper to determine the arm motion in the sagittal plane. The system provides unrestrained movements and improves its usability. The lightweight and compact size of the developed sensor node makes its attachment to the limb easy. Experimental results have shown that the system has good accuracy and response rate when compared with a goniometer.
Keywords :
accelerometers; body sensor networks; gait analysis; goniometers; patient monitoring; patient rehabilitation; accelerometer; goniometer; human motion monitoring; rehabilitation; sports science; surveillance; unrestrained arm motion measurement; virtual reality; wearable wireless sensor network; Human body motion; rehabilitation; wearable sensor; wireless sensor network;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
DOI :
10.1109/TIM.2010.2043974