Papers by Shohreh Deldari

1 papers
SensorLLM: Aligning Large Language Models with Motion Sensors for Human Activity Recognition (2025.emnlp-main)

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Challenge: SensorLLM is a timeseries classification framework that can perform human activity recognition tasks.
Approach: They propose a framework that enables Large Language Models to perform human activity recognition from sensor time-series data.
Outcome: The proposed framework can perform human activity recognition (HAR) tasks with human inputs.

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