ChatMotion: A Multimodal Multi-Agent for Human Motion Analysis
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arXiv
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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866912249627541504 |
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| author | Li, Lei Jia, Sen Wang, Jianhao An, Zhaochong Li, Jiaang Hwang, Jenq-Neng Belongie, Serge |
| author_facet | Li, Lei Jia, Sen Wang, Jianhao An, Zhaochong Li, Jiaang Hwang, Jenq-Neng Belongie, Serge |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_18180 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | ChatMotion: A Multimodal Multi-Agent for Human Motion Analysis Li, Lei Jia, Sen Wang, Jianhao An, Zhaochong Li, Jiaang Hwang, Jenq-Neng Belongie, Serge Artificial Intelligence Multiagent Systems 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. |
| title | ChatMotion: A Multimodal Multi-Agent for Human Motion Analysis |
| topic | Artificial Intelligence Multiagent Systems |
| url | https://arxiv.org/abs/2502.18180 |