Active headrest combined with a depth camera-based ear-positioning system
This addresses noise reduction for users of active headrests in dynamic scenarios, representing an incremental improvement over existing systems.
The paper tackled the problem of active headrest performance degradation during head movement by introducing a depth camera-based ear-positioning system, resulting in significantly improved broadband noise reduction performance during head translation or rotation.
Active headrests can reduce low-frequency noise around ears based on active noise control (ANC) system. Both the control system using fixed control filters and the remote microphone-based adaptive control system provide good noise reduction performance when the head is in the original position. However, their performance degrades significantly when the head is in motion. In this paper, a human ear-positioning system based on the depth camera is introduced to address this problem. The system uses RTMpose model to estimate the two-dimensional (2D) positions of the ears in the color frame, and then derives the corresponding three-dimensional (3D) coordinates in the depth frame with a depth camera. Experimental results show that the ear-positioning system can effectively track the movement of ears, and the broadband noise reduction performance of the active headrest combined with the system is significantly improved when the human head is translating or rotating.