A 3D gesture posture estimation and interaction method
Aiming the needs of non-contact convenient interaction in applications, we proposed a 3D gesture pose estimation and interaction feedback method. The accuracy of gesture posture estimation is improved by a cascade gesture posture estimation network based on DeepPrior++ and the Kalman filter. We also design a 3D gesture interaction modal. The recognized gestures and estimated gesture poses are transformed into operation commands through a gesture understanding engine, and the interaction feedback is updated based on the operation commands. Thus, non-contact interaction can be achieved in a convenient manner, to provide convenient and practical 3D gesture interaction tools.
Authors
- Wenkai Ren
- H Li
- Xinyi Wu (ORCID: https://orcid.org/0009-0004-4437-7157)
Publication Details
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1145/3707292.3707386
- Primary Topic
- Hand Gesture Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00