Unsupervised Classification of Human Activity with Hidden Semi-Markov Models

Unsupervised Classification of Human Activity with Hidden Semi-Markov Models

The modern sedentary lifestyle is negatively influencing human health, and the current guidelines recommend at least 150 min of moderate activity per week. However, the challenge is how to measure human activity in a practical way. While accelerometers are the most common tools to measure activity,...

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Bibliographic Details
Main Authors: Francesca Romana Cavallo, Christofer Toumazou, Konstantin Nikolic
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Applied System Innovation
Subjects:
activity classification
accelerometer
hidden Markov models
wearable sensors
UK Biobank
Online Access:https://www.mdpi.com/2571-5577/5/4/83

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