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

Advanced Data Analytics in eHealth (335) Tools, Programs and Algorithms (567) Wearable Devices and Sensors (1526) Machine Learning (3053) New Technologies (157) Artificial Intelligence (4542)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57097, first published .
Elderly woman wearing a fitness tracker on her wrist outdoors

Recognition of Daily Activities in Adults With Wearable Inertial Sensors: Deep Learning Methods Study

Recognition of Daily Activities in Adults With Wearable Inertial Sensors: Deep Learning Methods Study

Authors of this article:

Alberto De Ramón Fernández1 Author Orcid Image ;   Daniel Ruiz Fernández1 Author Orcid Image ;   Miguel García Jaén2 Author Orcid Image ;   Juan M. Cortell-Tormo2 Author Orcid Image
Article Authors Cited by (8) Tweetations Metrics

Journals

  1. Ismael M. Comparative Analysis of Machine Learning Methods for Human Activity Recognition Using Wearable Sensors. Scientia. Technology, Science and Society 2025;2(11):114 View
  2. Bayat N, Tran A, Kim J, Park J. Characterization and Classification of Tactical Movements Using Wearable Motion Sensors and Deep Learning Models. IEEE Transactions on Instrumentation and Measurement 2026;75:1 View
  3. Chowdhury R, Bari W, Hasan M, Hossain Z, Rahman M. Artificial Intelligence-Based Models for Predicting Disease Course Risk Using Patient Data. Computers 2026;15(2):113 View
  4. Kim D, Ahmed S, Amjad A, Won K, Xian X. Integrating Artificial Intelligence with Wearable Sensors for Advanced Health Monitoring and Diagnosis. Biosensors 2026;16(6):344 View
  5. Hoang M, Svelto C, Ciampolini P, Matrella G, Chiorboli G. Comparative Uncertainty Estimation in Neural Network Analysis of Wearable Sensor Signal for Cough and Fall Detection. Sensors 2026;26(13):4081 View
  6. Benachour Y, Flitti F, Maloukh L, Far A, Boutellaa E, Bentoumi M, Rai M, Aburaed N, Ali K, Rehman M, Mosleh S, Dghaim R, Bouamama S. Machine Learning for Wearable Sensor-Based Human Movement Rehabilitation: A Five-Year Systematic Review. IEEE Access 2026;14:99280 View

Conference Proceedings

  1. R J, S P, N S, R N, Rajagopal S, Soangra R. 2025 International Conference on Sensors and Related Networks (SENNET) Special Focus on Digital Healthcare(64220). Comparative Analysis of Deep Learning and Machine Learning Models for Human Activity Recognition Using Wearable Sensors View
  2. Chandrasekaran K, Buquicchio L, Agu E, Rundensteiner E. 2025 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI). A Personalized Transformer Neural Network for Accurate Recognition of Health-Indicative Complex Activities from Smartphone Sensors View