Multiscale activity recognition algorithms to improve cross-subjects performance resilience in rehabilitation monitoring systems
This research underscores the need to explore advanced methods for enhancing activity recognition systems in healthcare, where accurate exercise monitoring and evaluation are becoming essential for effective and personalized treatment in telemedicine services.
Authors
- Giuseppe De Pietro (ORCID: https://orcid.org/0000-0002-4675-5957)
- Umberto Maniscalco (ORCID: https://orcid.org/0000-0002-7157-8411)
- Ciro Mennella (ORCID: https://orcid.org/0000-0003-0419-7181)
- Massimo Esposito (ORCID: https://orcid.org/0000-0002-7196-7994)
Institutions
- Institute for High Performance Computing and Networking (IT)
- Pegaso University (IT)
Publication Details
- Journal
- Computer Methods and Programs in Biomedicine
- Published
- 2025-04-23
- DOI
- https://doi.org/10.1016/j.cmpb.2025.108792
- Primary Topic
- Anomaly Detection Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00