TouchPose: Hand Pose Prediction, Depth Estimation, and Touch Classification from Capacitive Images
Author:
Affiliation:
1. Human-Computer Interaction Institute Carnegie Mellon University, United States
2. Department of Computer Science ETH Zürich, Switzerland
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3472749.3474801
Reference83 articles.
1. Pose-on-the-Go: Approximating User Pose with Smartphone Sensor Fusion and Inverse Kinematics
2. Azure Kinect 2019. Azure Kinect DK hardware specifications. https://docs.microsoft.com/en-us/azure/kinect-dk/hardware-specification Azure Kinect 2019. Azure Kinect DK hardware specifications. https://docs.microsoft.com/en-us/azure/kinect-dk/hardware-specification
3. Projected-Capacitive Touch Technology
4. Leslie Casas Nassir Navab and Stefanie Demirci. 2019. Patient 3D body pose estimation from pressure imaging. International journal of computer assisted radiology and surgery 14 3(2019) 517–524. Leslie Casas Nassir Navab and Stefanie Demirci. 2019. Patient 3D body pose estimation from pressure imaging. International journal of computer assisted radiology and surgery 14 3(2019) 517–524.
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4. PressureVision++: Estimating Fingertip Pressure from Diverse RGB Images;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03
5. Efficient Multimodal Fusion for Hand Pose Estimation With Hourglass Network;IEEE Access;2024
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