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Active headrests can reduce low-frequency noise around ears based on activenoise control (ANC) system. Both the control system using fixed control filtersand the remote microphone-based adaptive control system provide good noisereduction performance when the head is in the original position. However, theirperformance degrades significantly when the head is in motion. In this paper, ahuman ear-positioning system based on the depth camera is introduced to addressthis problem. The system uses RTMpose model to estimate the two-dimensional(2D) positions of the ears in the color frame, and then derives thecorresponding three-dimensional (3D) coordinates in the depth frame with adepth camera. Experimental results show that the ear-positioning system caneffectively track the movement of ears, and the broadband noise reductionperformance of the active headrest combined with the system is significantlyimproved when the human head is translating or rotating.

Active headrest combined with a depth camera-based ear-positioning system