A multi-sensor deep learning approach for complex daily living activity recognition

Kanjo, E ORCID logoORCID: https://orcid.org/0000-0002-1720-0661, Woodward, K ORCID logoORCID: https://orcid.org/0000-0003-3302-1345, Taylor, K and Hunt, J ORCID logoORCID: https://orcid.org/0000-0002-5168-4778, 2022. A multi-sensor deep learning approach for complex daily living activity recognition. In: Workshop on Emerging Devices for Digital Biomarkers (DigiBiom), colocated with MobiSys 2022, Portland, Oregon, USA, 1-4 July 2022.

Full text not available from this repository.
Item Type: Conference contribution
Creators: Kanjo, E., Woodward, K., Taylor, K. and Hunt, J.
Date: July 2022
Identifiers:
Number
Type
1547743
Other
Divisions: Schools > School of Science and Technology
Record created by: Linda Sullivan
Date Added: 23 May 2022 09:47
Last Modified: 13 Aug 2024 07:42
Related URLs:
URI: https://irep.ntu.ac.uk/id/eprint/46348

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