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cs.CL2026
LLM-Guided Exemplar Selection for Few-Shot Wearable-Sensor Human Activity Recognition
Elsen Ronando, Sozo Inoue
In this paper, we propose an LLM-Guided Exemplar Selection framework to address a key limitation in state-of-the-art Human Activity Recognition (HAR) methods: their reliance on lar…
cs.CL2025
Few-Shot Optimization for Sensor Data Using Large Language Models: A Case Study on Fatigue Detection
Elsen Ronando, Sozo Inoue
In this paper, we propose a novel few-shot optimization with HED-LM (Hybrid Euclidean Distance with Large Language Models) to improve example selection for sensor-based classificat…