Abstract: Deploying advanced deep learning models on resource-constrained, battery-powered robots presents significant system-level challenges in balancing performance, power efficiency, and ...
Abstract: This study proposes a novel multimodal deep learning framework for depression detection, integrating visual, audio, and textual data. Using OpenFace and Librosa for feature extraction, the ...