Detecting falls with X-Factor Hidden Markov Models

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Detecting falls with X-Factor Hidden Markov Models

Identification of falls while performing normal activities of daily living (ADL) is important to ensure personal safety and well-being. However, falling is a short term activity that occurs rarely and infrequently. This poses a challenge for traditional supervised classification algorithms, because there may be very little training data for falls (or none at all) to build generalizable models f...

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ژورنال

عنوان ژورنال: Applied Soft Computing

سال: 2017

ISSN: 1568-4946

DOI: 10.1016/j.asoc.2017.01.034