In this article, we present a pendant sensor based chair rise detection and analysis algorithm for fall risk assessment in older people.
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Wearable sensor-based in-home assessment of gait, balance, and physical activity for discrimination of frailty status: baseline results of the Arizona Frailty Cohort Study
OBJECTIVE: To examine the ability of wearable sensor-based in-home assessment of gait, balance, and physical activity (PA) to discriminate between frailty levels (nonfrail, prefrail, and frail).
Towards a social and context-aware multi-sensor fall detection and risk assessment platform
In this paper, a social- and context-aware multi-sensor platform is presented, which integrates information gathered by a plethora of fall detection systems and sensors at the home of the elderly, by using a cloud-based solution, making use of an ontology.
Pilot evaluation of an unobtrusive system to detect falls at night time
In this study, a previously proposed unobtrusive nighttime fall detection system based on wireless passive infrared sensors and furniture load sensors is evaluated in a pilot study involving three older subjects, monitored for a combined total of 174 days.
