Utilizing Self-Supervised Learning for Recognizing Human Activity in Older Adults through Labeling Applications in Real-World Smart Homes-Reference-Cited by-同舟云学术

Utilizing Self-Supervised Learning for Recognizing Human Activity in Older Adults through Labeling Applications in Real-World Smart Homes

Published:2024-09-04 Issue: Volume: Page:275-283
ISSN:
Container-title:Proceedings of the 2024 International Conference on Information Technology for Social Good
language:
Short-container-title:

Author:

Chen Hui¹^ORCID,Gouin-Vallerand Charles¹^ORCID,Bouchard Kévin²^ORCID,Gaboury Sébastien²^ORCID,Ngankam Hubert Kenfack¹^ORCID,Lussier Maxime³^ORCID,Couture Mélanie¹^ORCID,Bier Nathalie⁴^ORCID,Giroux Sylvain¹^ORCID

Affiliation:

1. Université de Sherbrooke, Canada

2. Université du Québec à Chicoutimi, Canada

3. Université de Montréal, Canada

4. Université de Montréal, Canada and Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Canada

Funder

Videotron Inc

AGE-WELL NCE

Fondation Luc Maurice

MEDTEQ

NSERC

the Réseau Québécois de Recherche sur le Vieillissement (RQRV)

Fonds de la recherche du Québec ð Santé

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3677525.3678671

Reference22 articles.

1. American Association for Retired People. 2021. Where we live, where we age: Trends in home and community preferences. Retrieved May 05, 2024 from https://livablecommunities.aarpinternational.org/

2. Co-designing smart home technology with people with dementia or Parkinson's disease

3. Leveraging Self-Supervised Learning for Human Activity Recognition with Ambient Sensors

4. Enhancing Human Activity Recognition in Smart Homes with Self-Supervised Learning and Self-Attention

5. Ting Chen Simon Kornblith Mohammad Norouzi and Geoffrey Hinton. 2020. A Simple Framework for Contrastive Learning of Visual Representations. arxiv:2002.05709 [cs.LG]