This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2774) Fitness Trackers and Smart Pedometers/Accelerometers (606) mHealth for Data Collection and Research (1065)

Published on in Vol 6, No 9 (2022): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33606, first published .
Personalized Energy Expenditure Estimation: Visual Sensing Approach With Deep Learning

Personalized Energy Expenditure Estimation: Visual Sensing Approach With Deep Learning

Personalized Energy Expenditure Estimation: Visual Sensing Approach With Deep Learning

Authors of this article:

Toby Perrett1 Author Orcid Image ;   Alessandro Masullo1 Author Orcid Image ;   Dima Damen1 Author Orcid Image ;   Tilo Burghardt1 Author Orcid Image ;   Ian Craddock1 Author Orcid Image ;   Majid Mirmehdi1 Author Orcid Image
Article Authors Cited by (3) Tweetations (7) Metrics

Journals

  1. Prokopakis I, Gialelis J, Protopsaltis G. Real Time Estimation of Energy Expenditure during Physical Activity Using Ensemble Methods. Procedia Computer Science 2024;241:582 View

Books/Policy Documents

  1. Zhang S, Jin L, Wang Y, Wang X, Wen X, Feng Z, Song M. Computer Vision – ECCV 2024. View

Conference Proceedings

  1. Kasturi G, Shrestha P, Strath S, Kate R. 2024 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI). Estimating Physical Activity Energy Expenditure from Video View