arXiv AI By Christian Arzate Cruz, Stefanos Gkikas, Houshyar Asadi

Efficient and Interpretable Body-Based Emotion Recognition with Lightweight Temporal Convolutional Networks

Read the original on arXiv AI →

arXiv:2607. 20820v1 Announce Type: new Abstract: Body-based emotion recognition is important for real-time affective systems, but graph-based skeleton models can be computationally expensive.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv AI.