A High Reliability Wearable Device for Elderly Fall Detection
Falls are critical events among elderly people that requires timely rescue. In this paper, we propose a fall detection system consisting of an inertial unit that includes triaxial accelerometer, gyroscope, and magnetometer with efficient data fusion and fall detection algorithms. Starting from the r...
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Published in | IEEE sensors journal Vol. 15; no. 8; pp. 4544 - 4553 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
IEEE
01.08.2015
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Subjects | |
Online Access | Get full text |
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Summary: | Falls are critical events among elderly people that requires timely rescue. In this paper, we propose a fall detection system consisting of an inertial unit that includes triaxial accelerometer, gyroscope, and magnetometer with efficient data fusion and fall detection algorithms. Starting from the raw data, the implemented orientation filter provides the correct orientation of the subject in terms of yaw, pitch, and roll angles. The system is tested according to experimental protocols, engaging volunteers who performed simulated falls, simulated falls with recovery, and activities of daily living. By placing our wearable sensor on the waist of the subject, the unit is able to achieve fall detection performance above those of similar systems proposed in literature. The results obtained through commonly adopted protocols show excellent accuracy, sensitivity and specificity, improving the results of other techniques proposed in the literature. |
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ISSN: | 1530-437X 1558-1748 |
DOI: | 10.1109/JSEN.2015.2423562 |