TY - GEN
T1 - A wearable wireless fall detection system with accelerators
AU - Chen, Diansheng
AU - Feng, Wei
AU - Zhang, Yu
AU - Li, Xiyu
AU - Wang, Tianmiao
PY - 2011
Y1 - 2011
N2 - Falls in elderly is a major health problem and a cost burden to social services. Thus automatic fall detectors are needed to support the independence and security of the elderly. The goal of this research is to develop a real-time portable wireless fall detection system, which is capable of automatically discriminating between falls and Activities of Daily Life (ADL). The fall detection system contains a portable fall-detection terminal and a monitoring centre, both of which communicate with ZigBee protocol. To extract the features of falls, falls data and ADL data obtained from young subjects are analyzed. Based on the characteristics of falls, an effective fall detection algorithm using tri-axis accelerometers is introduced, and the results show that falls can be distinguished from ADL with a sensitivity over 95% and a specificity of 100%, for a total set of 270 movements.
AB - Falls in elderly is a major health problem and a cost burden to social services. Thus automatic fall detectors are needed to support the independence and security of the elderly. The goal of this research is to develop a real-time portable wireless fall detection system, which is capable of automatically discriminating between falls and Activities of Daily Life (ADL). The fall detection system contains a portable fall-detection terminal and a monitoring centre, both of which communicate with ZigBee protocol. To extract the features of falls, falls data and ADL data obtained from young subjects are analyzed. Based on the characteristics of falls, an effective fall detection algorithm using tri-axis accelerometers is introduced, and the results show that falls can be distinguished from ADL with a sensitivity over 95% and a specificity of 100%, for a total set of 270 movements.
UR - https://www.scopus.com/pages/publications/84860762979
U2 - 10.1109/ROBIO.2011.6181634
DO - 10.1109/ROBIO.2011.6181634
M3 - 会议稿件
AN - SCOPUS:84860762979
SN - 9781457721373
T3 - 2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011
SP - 2259
EP - 2263
BT - 2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011
T2 - 2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011
Y2 - 7 December 2011 through 11 December 2011
ER -