MaskFi: Unsupervised Learning of WiFi and Vision Representations for Multimodal Human Activity Recognition

arXiv:2402.19258v1 Announce Type: new
Abstract: Human activity recognition (HAR) has been playing an increasingly important role in various domains such as healthcare, security monitoring, and metaverse gaming. Though numerous HAR methods based on computer vision have been developed to show prominent performance, they still suffer from poor robustness in adverse visual conditions in particular low illumination, which motivates WiFi-based HAR to serve as a good complementary modality. Existing solutions using WiFi and vision modalities rely on massive labeled data that …

abstract arxiv computer computer vision cs.cv domains gaming healthcare human metaverse monitoring multimodal performance playing recognition role security show type unsupervised unsupervised learning vision wifi