Physical Activity Researcher · paresearcher

/Highlights/ The Future of Accelerometry Analysis Methods - Dr Alexander Montoye (Pt2)

·17 min·1 clip
A researcher admits he had to 'eat' his early belief that machine learning models were the clear future of accelerometry.
This episode explores the future of accelerometry analysis, focusing on the slow adoption of machine learning models despite their accuracy. The guest discusses barriers like ease of use, the rise of consumer wearables, and efforts to create a model repository to improve accessibility, while also addressing practical challenges like non-physiological outputs.

As heard by us

A practical episode on accelerometry analysis, with a sharp focus on model choice and deployment details.

Dr. Alexander Montoye and host Oli Tikkanen spend the episode on where accelerometry analysis may go next and what counts as real progress. The discussion follows Montoye's move from early confidence in machine learning to a more careful view: model choice depends on the data,…

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Press play for a clear map of accelerometry analysis choices in sedentary behavior and physical activity research.

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