Matthies, Denys J.C.Denys J.C.MatthiesWoodall, AlexAlexWoodallUrban, BodoBodoUrban2022-03-152022-03-152021https://publica.fraunhofer.de/handle/publica/41299710.1145/3460418.34793612-s2.0-85115981335The prevalence of smart eyewear, particularly in the form of eye glasses, has continuously increased. In this paper, we explore instrumenting a pair of glasses with Capacitive Sensing (CapSense) technology. We conducted three studies, in which we (1) explore a suitable CapSense setup for rapid prototyping; (2) reveal the potential of detecting facial and head gestures with a CapSense glasses prototype; and (3) investigate the technical feasibility of using a passive electric field sensing. Instead of training a low-dimensional gesture set that works across different users (e.g., eye winks), we selected a set of 12 facial and head related gestures, which we classified by relying on user-dependent machine learning models.enelectric field sensingprototypingmachine learningdata miningLead Topic: Digitized WorkResearch Line: Human computer interaction (HCI)user interactioninputHuman-computer interaction (HCI)006conference paper