Inertial sensor based post fall analysis for false alarming reduction

Publisher:
Acta Press
Publication Type:
Conference Proceeding
Citation:
Telehealth and Assistive Technology / 847: Intelligent Systems and Robotics, 2016, 847 pp. 36 - 43
Issue Date:
2016-01-01
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One of the major public health problems among elderly people is falling injury. This study investigates fall detection and prevention by using inertial sensors for which the major existing challenging is how to significantly reduce false alarming in order to enhance the acceptance of elderly users during rehabilitation and daily exercises. Different from most existing approaches in the literature, the behavior after falling will be analyzed in details, which can not only greatly reduce false alarming, but also significantly improves the accuracy of the assessment of the severity of falling injuries.
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