Neuromorphic High-Frequency 3D Dancing Pose Estimation in Dynamic Environment
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Abstract (arXiv)
As a beloved sport worldwide, dancing is getting integrated into traditional and virtual reality-based gaming platforms nowadays. It opens up new opportunities in the technology-mediated dancing space. These platforms primarily rely on passive and continuous human pose estimation as an input capture mechanism. Existing solutions are mainly based on RGB or RGB-Depth cameras for dance games. The former suffers in low-lighting conditions due to the motion blur and low sensitivity, while the latter is too power-hungry, has a low frame rate, and has limited working distance. With ultra-low latency, energy efficiency, and wide dynamic range characteristics, the event camera is a promising solution to overcome these shortcomings. We propose YeLan, an event camera-based 3-dimensional high-frequency human pose estimation(HPE) system that survives low-lighting conditions and dynamic backgrounds. We collected the world's first event camera dance dataset and developed a fully customizable motion-to-event physics-aware simulator. YeLan outperforms the baseline models in these challenging conditions and demonstrated robustness against different types of clothing, background motion, viewing angle, occlusion, and lighting fluctuations.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 32 of its 93 references that are in the map. First posted on arXiv 17 Jan 2023.
Builds on
32 of 93 references.
References · 32
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20 more
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Built on by
Citing papers per year: 2023: 3; 2024: 2; 2025: 3.
8 papers.
- 2023V2CE: Video to Continuous Events Simulatorcited by 24
- 2024Microsaccade-inspired Event Camera for Roboticscited by 17
- 2025Event Quality Score (EQS): Assessing the Realism of Simulated Event Camera Streams via Distances in Latent Spacecited by 7
- 2024EVIT: Event-based Visual-Inertial Tracking in Semi-Dense Maps Using Windowed Nonlinear Optimizationcited by 3
- 2025Hardware, Algorithms, and Applications of the Neuromorphic Vision Sensor: a Reviewcited by 3
- 2023Efficient, Self-Supervised Human Pose Estimation with Inductive Prior Tuningcited by 1
- 2023Spike-based Neuromorphic Computing for Next-Generation Computer Visioncited by 0
- 2025When Dance Video Archives Challenge Computer Visioncited by 0
- 2025When Dance Video Archives Challenge Computer Vision12 May 2025
- 2025Event Quality Score (EQS): Assessing the Realism of Simulated Event Camera Streams via Distances in Latent Space16 Apr 2025
- 2025Hardware, Algorithms, and Applications of the Neuromorphic Vision Sensor: a Review11 Apr 2025
- 2024EVIT: Event-based Visual-Inertial Tracking in Semi-Dense Maps Using Windowed Nonlinear Optimization2 Aug 2024
- 2024Microsaccade-inspired Event Camera for Robotics28 May 2024
- 2023Efficient, Self-Supervised Human Pose Estimation with Inductive Prior Tuning6 Nov 2023
- 2023Spike-based Neuromorphic Computing for Next-Generation Computer Vision15 Oct 2023
- 2023V2CE: Video to Continuous Events Simulator16 Sep 2023