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Large Language Models for Wearable Sensor-Based Human Activity Recognition, Health Monitoring, and Behavioral Modeling: A Survey of Early Trends, Datasets, and Challenges

2024-07-12

Abstract excerpt

The proliferation of wearable technology enables the generation of vast amounts of sensor data, offering significant opportunities for advancements in health monitoring, activity recognition, and personalized medicine. However, the complexity and volume of this data present substantial challenges in data modeling and analysis, which have been tamed with approaches spanning time series modeling to deep learning tec...

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Literature Corpus work
1e747226-c461-5a71-a870-1fe0868f2fcc
DOI
10.20944/preprints202407.0970.v1
Open publication

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Large Language Models for Wearable Sensor-Based Human Activity Recognition, Health Monitoring, and Behavioral Modeling: A Survey of Early Trends, Datasets, and ChallengesDOI 10.20944/preprints202407.0970.v1
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