Toggle Main Menu Toggle Search

Open Access padlockePrints

Neural Network-Based Granular Activity Recognition from Accelerometers: Assessing Generalizability Across Diverse Mobility Profiles.

Lookup NU author(s): Dr Metin BicerORCiD, Professor Lynn RochesterORCiD, Dr Silvia Del DinORCiD, Dr Lisa AlcockORCiD

Downloads

Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Publication metadata

Author(s): Bicer M, Pope J, Rochester L, Del Din S, Alcock L

Publication type: Article

Publication status: Published

Journal: Sensors

Year: 2026

Volume: 26

Issue: 4

Online publication date: 18/02/2026

Acceptance date: 13/02/2026

Date deposited: 06/03/2026

ISSN (electronic): 1424-8220

Publisher: MDPI AG

URL: https://doi.org/10.3390/s26041320

DOI: 10.3390/s26041320

Data Access Statement: The datasets used in the study are openly available in GitHub at https://github.com/ntnu-ai-lab/harth-ml-experiments (accessed on 12 January 2026).

Altmetrics

Altmetrics provided by Altmetric

Funding

Funder referenceFunder name
European Federation of Pharmaceutical Industries and Associations (EFPIA)
European Union Horizon 2020 research and innovation programme
Innovative Medicines Initiative 2 Joint Undertaking (JU) under grant agreement No. 853981
National Institute for Health Research (NIHR) Newcastle Biomedical Research Centre (BRC)
NIHR senior investigator award
NIHR/Wellcome Trust Clinical Research Facility (CRF) infrastructure at Newcastle upon Tyne Hospitals NHS Foundation Trust
UK Research and Innovation (UKRI) Engineering and Physical Sciences Research Council (EPSRC) (TORUS, Grant Ref: EP/X036146/1)
UKRI EPSRC (Grant Ref: EP/X031012/1)

Share