A Music Playback Control System Based on Facial Expression Recognition

Li Guanbin
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Abstract

An intelligent music playback control system, which can select the appropriate music to play according to the facial expression recognition result, is designed. The hardware system consists of PYNQ_Z2 development board, camera, HDMI display and audio. The software system performs face detection on the core chip of ARM + FPGA through Haar feature and Adaboost algorithm, and realizes expression recognition through LDA and K nearest neighbor algorithm. The expression recognition results are sub-classified by confidence, and the PID control algorithm is used to adjust the confidence to improve the robustness of the system during uneven illumination. The system has low delay, strong robustness and rich human-computer interaction, and has a wide range of application scenarios.
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基于面部表情识别的音乐播放控制系统
设计了一种智能音乐播放控制系统,可以根据面部表情识别结果选择合适的音乐播放。硬件系统由PYNQ_Z2开发板、摄像头、HDMI显示器和音频组成。软件系统通过Haar特征和Adaboost算法在ARM + FPGA核心芯片上进行人脸检测,并通过LDA和K近邻算法实现表情识别。对表情识别结果进行置信度细分,采用PID控制算法对置信度进行调整,提高系统在光照不均匀情况下的鲁棒性。该系统时延低,鲁棒性强,人机交互丰富,应用场景广泛。
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