Leveraging Large Language Models to Annotate Activities of Daily Living Captured with Egocentric Vision

Developing a system that automatically and passively recognizes activities of daily living (ADLs) would be transformative for numerous health applications. However, engineering approaches for building such a classifier today requires the availability of large and rich annotated datasets representing...

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Bibliographic Details

Published in:	IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (Online) pp. 182 - 186
Main Authors:	Shrestha, Sloke, Thomaz, Edison
Format:	Conference Proceeding
Language:	English
Published:	IEEE 19.06.2024
Subjects:	Activities of Daily Living Annotations Buildings Data Annotation Detectors Human Activity Recognition Large language models Manuals NASA Pipelines Vison Language Models
ISSN:	2832-2975
Online Access:	Get full text
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