ChatMotion: A Multimodal Multi-Agent for Human Motion Analysis

• URL: http://arxiv.org/abs/2502.18180v2
• Date: Thu, 27 Feb 2025 13:55:34 GMT
• Title: ChatMotion: A Multimodal Multi-Agent for Human Motion Analysis
• Authors: Lei Li, Sen Jia, Jianhao Wang, Zhaochong An, Jiaang Li, Jenq-Neng Hwang, Serge Belongie,
• Abstract summary: ChatMotion is a multimodal multi-agent framework for human motion analysis.<n>It interprets user intent, decomposes complex tasks into meta-tasks, and activates specialized function modules for motion comprehension.<n>It integrates multiple specialized modules, such as the MotionCore, to analyze human motion from various perspectives.
• Score: 37.60532857094311
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Advancements in Multimodal Large Language Models (MLLMs) have improved human motion understanding. However, these models remain constrained by their "instruct-only" nature, lacking interactivity and adaptability for diverse analytical perspectives. To address these challenges, we introduce ChatMotion, a multimodal multi-agent framework for human motion analysis. ChatMotion dynamically interprets user intent, decomposes complex tasks into meta-tasks, and activates specialized function modules for motion comprehension. It integrates multiple specialized modules, such as the MotionCore, to analyze human motion from various perspectives. Extensive experiments demonstrate ChatMotion's precision, adaptability, and user engagement for human motion understanding.

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