AI RESEARCH
SensingAgents: A Multi-Agent Collaborative Framework for Robust IMU Activity Recognition
arXiv CS.AI
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ArXi:2605.04608v1 Announce Type: new Human Activity Recognition (HAR) using Inertial Measurement Unit (IMU) sensors is a cornerstone of mobile health, smart environments, and human-computer interaction. However, current deep learning-based HAR models often struggle with heavy reliance on labeled data, position-specific ambiguity, and a lack of transparent reasoning. Inspired by the advanced agents framework, which emulates a collaborative agent using Large Language Models (LLMs), we propose SensingAgents, a novel multi-agent system for robust IMU activity recognition.