Published December 9, 2021 | Version v1
Conference paper Open

A Machine Learning Approach for Prediction of Sedentary Behavior Based on Daily Step Counts

Creators

  • 1. Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece
  • 2. Information Technologies Institute, Centre for Research and Technology HellasThessalonikiGreece

Description

This work emerged from the EU-funded Ageing@Work project (GA: 826299). The paper was presented in 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

Files

A Machine Learning Approach for Prediction of Sedentary Behavior Based on Daily Step Counts_final_EMBC.pdf

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Additional details

Funding

AgeingatWork – Smart, Personalized and Adaptive ICT Solutions for Active, Healthy and Productive Ageing with enhanced Workability 826299
European Commission