IMUCoCo: Enabling Flexible On-Body IMU Placement for Human Pose Estimation and Activity Recognition
Haozhe Zhou, Riku Arakawa, Yuvraj Agarwal, Mayank Goel
摘要
We introduce IMU over Continuous Coordinates (IMUCoCo), a novel framework that maps signals from a variable number of IMUs placed on the body surface into a unified feature space based on their spatial coordinates. These features can be plugged into downstream models for pose estimation and activity recognition. Our evaluations demonstrate that IMUCoCo supports accurate pose estimation in a wide range of typical and atypical sensor placements. Overall, IMUCoCo supports significantly more flexible use of IMUs for motion sensing than the state-of-the-art, allowing users to place their sensors-laden devices according to their needs and preferences. The framework also supports the ability to change device locations depending on the context and suggests placement depending on the use case.
• Human-centered computing → Ubiquitous and mobile computing systems and tools; Interactive systems and tools.
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引用它的顶会 Paper2
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它引用的顶会 Paper21
- AMASS: Archive of Motion Capture As Surface ShapesNaureen Mahmood, Nima Ghorbani, Nikolaus F. Troje, Gerard Pons-Moll 等ICCV 2019 · 被引用 1,784 次
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- Physical Inertial Poser (PIP): Physics-aware Real-time Human Motion Tracking from Sparse Inertial SensorsXinyu Yi, Yuxiao Zhou, Marc Habermann, Soshi Shimada 等CVPR 2022 · 被引用 198 次
- IMUTube: Automatic Extraction of Virtual on-body Accelerometry from Video for Human Activity RecognitionHyeokHyen Kwon, Catherine Tong, Harish Haresamudram, Yan Gao 等UbiComp 2020 · 被引用 153 次
- IMUPoser: Full-Body Pose Estimation using IMUs in Phones, Watches, and EarbudsVimal Mollyn, Riku Arakawa, Mayank Goel, Chris Harrison 等CHI 2023 · 被引用 103 次
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