A jerk threshold-based involuntary lateral movement algorithm

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Document typeConference lecture
Defense date2009
Rights accessOpen Access
Abstract
Algorithms for automatic fall detection are often studied
in the field of ambulatory human health supervision.
These algorithms are developed to generate hospital
emergency alarms. In the present paper, Involuntary Lateral
Movements (ILM) are presented. ILM are a premature
sign of health deterioration. Therefore, this algorithm
embedded in a sensor device could be used for continuous
health monitoring in ambulatory situations.
Several studies show that human bodies try to minimize
acceleration body movements, so they are based
on minimum jerk. The proposed algorithm is based on
a jerk threshold detection. In this work it is supposed
that ILM will produce important jerk values above other
daily movements, so that they can be distinguished using
a threshold.
CitationAngulo, C.; Valls, G. A jerk threshold-based involuntary lateral movement algorithm. A: IEEE International Conference on Emerging Technologies and Factory Automation. "14th IEEE International Conference on Emerging Technologies and Factory Automation". Palma de Mallorca: 2009, p. 1-4.
ISBN9781424427284
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