Towards the automatic detection of activities of daily living using eye-movement and accelerometer data with neural networks.
Saved in:
| Title: | Towards the automatic detection of activities of daily living using eye-movement and accelerometer data with neural networks. |
|---|---|
| Authors: | Newman JL; School of Computing Sciences, University of East Anglia, University Drive, Norwich, NR4 7TJ, Norfolk, England, United Kingdom. Electronic address: jacob.newman@uea.ac.uk., Brook Z; School of Computing Sciences, University of East Anglia, University Drive, Norwich, NR4 7TJ, Norfolk, England, United Kingdom., Cox SJ; School of Computing Sciences, University of East Anglia, University Drive, Norwich, NR4 7TJ, Norfolk, England, United Kingdom., Phillips JS; Otolaryngology, Norfolk and Norwich University Hospitals NHS Foundation Trust, Colney Lane, Norwich, NR4 7UY, Norfolk, England, United Kingdom. |
| Source: | Computers in biology and medicine [Comput Biol Med] 2025 Mar; Vol. 186, pp. 109607. Date of Electronic Publication: 2025 Jan 01. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1879-0534 |
|---|---|
| DOI: | 10.1016/j.compbiomed.2024.109607 |
