DocumentCode :
184502
Title :
A versatile ankle-mounted fall detection device based on attitude heading systems
Author :
Pierleoni, P. ; Belli, A. ; Palma, L. ; Pernini, L. ; Valenti, S.
Author_Institution :
Dipt. di Ing. dell´Inf. (DII), Univ. Politec. delle Marche, Ancona, Italy
fYear :
2014
fDate :
22-24 Oct. 2014
Firstpage :
153
Lastpage :
156
Abstract :
In this paper we propose a wireless wearable device for real-time fall detection attached to the ankle user. This device can also be embedded inside the footwear with similar performance and a lower invasiveness of use. It contains a 3-axis accelerometer, a 3-axis gyroscope and a 3-axis magnetometer realizing an Attitude Heading Reference System (AHRS). The AHRS provides the correct 3D orientation through an implemented data fusion algorithm. On sensor board is also implemented the automatic fall detection algorithm handling the orientation data from AHRS and the acceleration data from the triaxial accelerometer. The fall is a critical event that can cause physical and psychological effects particularly among older people. The elderly timely assistance after a fall could prevent serious health care consequences. For this reason the alarms generated by fall detection algorithm are sent to a smartphone via the Bluetooth module integrated into the device. In the smartphone runs a background application that sends sms alert to preset phone numbers or makes prerecorded phone calls after receiving alarms from the sensor node. In order to evaluate the performance of the proposed fall detection system, the developed device has been tested according to an experimental protocol in which volunteers perform simulated falls, simulated falls with recovery and activities of daily living (ADL). Our ankle-mounted devise shows a significant improvement in performance compared to other devices proposed in literature. In fact, the results of the experimental protocol show a sensitivity of 97% and a specificity of 100%.
Keywords :
Bluetooth; accelerometers; biomedical equipment; gait analysis; geriatrics; gyroscopes; health care; magnetometers; mechanoception; sensor fusion; smart phones; wireless sensor networks; 3-axis accelerometer; 3-axis gyroscope; 3-axis magnetometer; 3D orientation; ADL; AHRS; Bluetooth; acceleration data; ankle user; attitude heading reference system; attitude heading systems; daily living activity; elderly people; footwear; health care; implemented data fusion algorithm; older people; orientation data; phone numbers; physical effects; prerecorded phone calls; psychological effects; real-time fall detection; sensor node; smartphone; sms alert; triaxial accelerometer; versatile ankle-mounted fall detection device; wireless wearable device; Acceleration; Accelerometers; Detection algorithms; Performance evaluation; Protocols; Senior citizens; Sensitivity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Circuits and Systems Conference (BioCAS), 2014 IEEE
Conference_Location :
Lausanne
Type :
conf
DOI :
10.1109/BioCAS.2014.6981668
Filename :
6981668
Link To Document :
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