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Filtering by: Alternative title ssim Technical note no. 195 Committee Member Tadepalli, Prasad Creator Anderson, Michael M.

Physical activity recognition of free-living data using change-point detection algorithms and hidden Markov models

Creator:

Anderson, Michael M.

Abstract:

Physical activity recognition using accelerometer data is a rapidly emerging ﬁeld with many real-world applications. Much of the previous work in this area has assumed that the accelerometer data has already been segmented into pure activities, and the activity recognition task has been to classify these segments. In reality, activity...

Resource Type:

Masters Thesis

Full Text:

distributions [35]. Non-parametric methods have also been found to be viable where no such modeling assumptions