
UNRESTRAINED MEASUREMENT OF ARM MOTION BASED ON A WEARABLE WIRELESS SENSOR NETWORK
Author(s) -
Sreenivasulu Sreenivasulu,
N. Subbarao
Publication year - 2012
Publication title -
international journal of image processing and vision sciences
Language(s) - English
Resource type - Journals
ISSN - 2278-1110
DOI - 10.47893/ijipvs.2012.1019
Subject(s) - wearable computer , accelerometer , wireless sensor network , computer science , sagittal plane , usability , wireless , human motion , node (physics) , goniometer , simulation , match moving , real time computing , motion (physics) , engineering , computer vision , embedded system , human–computer interaction , computer network , telecommunications , medicine , geometry , mathematics , structural engineering , radiology , operating system
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.