Nie, Dongyun ORCID: 0000-0003-3109-5762, Gurrin, Cathal
ORCID: 0000-0003-2903-3968 and Scriney, Michael
ORCID: 0000-0001-6813-2630
(2024)
Activity Classification for Daily Lifelogs.
In: The 1st ACM Workshop on AI-Powered Q&A Systems for Multimedia, 10 - 14, June 2024, Phuket, Thailand.
ISBN 9798400706196
Abstract
In recent years, researchers have emphasized interactive
question-answering (QA) systems integrated with lifelog retrieval for their
prompt query resolution and ability to accommodate various types
of data. Lifelog datasets, collected via wearables, serve as valuable resources for multimedia retrieval and human behaviour exploration
across diverse fields like healthcare and sports. Accurate lifelong
activity prediction is pivotal for understanding daily behaviours, necessitating precise Activities of Daily Living (ADL) prediction. This
paper reframes lifelogging’s retrieval task as a question-answering
challenge, which can be applied to auto-labelling extensive unseen
lifelog activity data using classification algorithms. Leveraging machine learning methodologies enables lifelog retrieval systems to
analyze and interpret lifelog data, improving ADL predictions and
system performance.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Workshop |
Refereed: | Yes |
Uncontrolled Keywords: | Classification, Lifelog Retrieval, Activities of Daily Living |
Subjects: | Computer Science > Machine learning Computer Science > Lifelog |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing |
Published in: | ICMR '24: Proceedings of the 2024 International Conference on Multimedia Retrieval. . ICMR. ISBN 9798400706196 |
Publisher: | ICMR |
Funders: | Science Foundation Ireland (SFI), European Regional Development Fund |
ID Code: | 30673 |
Deposited On: | 23 Jan 2025 12:28 by Dongyun Nie . Last Modified 23 Jan 2025 12:28 |
Documents
Full text available as:
Preview |
PDF
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Creative Commons: Attribution 4.0 656kB |
Metrics
Altmetric Badge
Dimensions Badge
Downloads
Downloads
Downloads per month over past year
Archive Staff Only: edit this record