Research map / 3D vision / Human pose estimation
Physical Inertial Poser (PIP): Physics-Aware Real-Time Human Motion Tracking From Sparse Inertial Sensors
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use PIP instead of TransPose | sparse-IMU motion tracking · DIP-IMU test | SIP Error: 16.68 -> 15.02 | Helped |
| Use PIP instead of TransPose | sparse-IMU motion tracking · DIP-IMU test | Jitter: 1.46 -> 0.24 | Helped |
| Use PIP instead of TransPose | sparse-IMU motion tracking · DIP-IMU test | Latency: 94 -> 16 | Helped |
| Use PIP instead of TransPose | sparse-IMU motion tracking · TotalCapture | SIP Error: 16.58 -> 12.93 | Helped |
| Use PIP instead of TransPose | sparse-IMU motion tracking · TotalCapture | Jitter: 1.87 -> 0.20 | Helped |
| Use PIP instead of TransPose | sparse-IMU motion tracking · TotalCapture | Latency: 94 -> 16 | Helped |
| Add learning-based RNN initialization (ablation) | PIP · DIP-IMU test and TotalCapture | SIP Error: 15.12 -> 15.02; 13.70 -> 12.93 | Helped |
| Add learning-based RNN initialization (ablation) | PIP · DIP-IMU test and TotalCapture | Jitter: 0.27 -> 0.24; 0.23 -> 0.20 | Helped |
| Add the joint-position controller to form dual-PD control (ablation) | PIP · DIP-IMU test | SIP Error: 15.04 -> 15.02 | Helped |
| Add the joint-position controller to form dual-PD control (ablation) | PIP · DIP-IMU test and TotalCapture | Jitter: 0.28 -> 0.24; 0.32 -> 0.20 | Helped |
| Add the physics-based optimizer (ablation) | PIP · DIP-IMU test | Jitter: 0.48 -> 0.24 | Helped |
| Add the physics-based optimizer (ablation) | PIP · TotalCapture | SIP Error: 12.84 -> 12.93 | Hurt |
Closest papers by meaning
- Dynamic Inertial Poser (DynaIP): Part-Based Motion Dynamics Learning for Enhanced Human Pose Estimation with Sparse Inertial Sensors (CVPR 2024 · similarity 0.89)
- Optimal-state Dynamics Estimation for Physics-based Human Motion Capture from Videos (NeurIPS 2024 · similarity 0.88)
- PhysPT: Physics-aware Pretrained Transformer for Estimating Human Dynamics from Monocular Videos (CVPR 2024 · similarity 0.86)
- DiffusionPoser: Real-time Human Motion Reconstruction From Arbitrary Sparse Sensors Using Autoregressive Diffusion (CVPR 2024 · similarity 0.85)
- I'M HOI: Inertia-aware Monocular Capture of 3D Human-Object Interactions (CVPR 2024 · similarity 0.85)
- EnvPoser: Environment-aware Realistic Human Motion Estimation from Sparse Observations with Uncertainty Modeling (CVPR 2025 · similarity 0.84)
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