MeciFace: Mechanomyography and Inertial Fusion-based Glasses for Edge Real-Time Recognition of Facial and Eating Activities

arXiv:2306.13674v3 Announce Type: replace-cross
Abstract: The increasing prevalence of stress-related eating behaviors and their impact on overall health highlights the importance of effective and ubiquitous monitoring systems. In this paper, we present MeciFace, an innovative wearable technology designed to monitor facial expressions and eating activities in real-time on-the-edge (RTE). MeciFace aims to provide a low-power, privacy-conscious, and highly accurate tool for promoting healthy eating behaviors and stress management. We employ lightweight convolutional neural networks as backbone models for facial expression …

abstract arxiv cs.cv cs.lg edge eess.iv eess.sp fusion glasses health highlights impact importance monitoring paper real-time recognition stress systems technology type wearable wearable technology