Weighted knowledge distillation of attention-LRCN for recognizing affective states from PPG signals

Jiho Choi, Gyutae Hwang, Jun Seong Lee, Moonwook Ryu, Sang Jun Lee

Abstract: Highlights•We propose Attention-LRCN model for recognizing affective states from PPG signals.•Weighted knowledge distillation is proposed to improve the recognition accuracy.•The accuracy of the proposed method was verified on a real-world dataset.