Development and validation of accelerometer-based activity classification algorithms for older adults: A machine learning approach
Machine learning algorithms to classify activity type from wearable accelerometers are important to improve our understanding of the relationship between physical activity (PA) and risk for physical disability in older adults. Therefore, the main objective of this dissertation was to develop and eva...
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| Language: | ENG |
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ScholarWorks@UMass Amherst
2014
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| Online Access: | https://scholarworks.umass.edu/dissertations/AAI3615445 |