For more than two decades, capacitive sensing has played a prominent role in human-computer interaction research. Capacitive sensing has become ubiquitous on mobile, wearable, and stationary devices-enabling fundamentally new interaction techniques on, above, and around them. The research community has also enabled human position estimation and whole-body gestural interaction in instrumented environments. However, the broad field of capacitive sensing research has become fragmented by different approaches and terminology used across the various domains. This paper strives to unify the field by advocating consistent terminology and proposing a new taxonomy to classify capacitive sensing approaches. Our extensive survey provides an analysis and review of past research and identifies challenges for future work. We aim to create a common understanding within the field of human-computer interaction, for researchers and practitioners alike, and to stimulate and facilitate future research in capacitive sensing.
Safety is a major concern for non-motorized traffic participants, such as cyclists, pedestrians or skaters. Due to their weak nature compared to cars, accidents often lead to serious implications. In this paper, we investigate how additional protection can be achieved with wearable displays attached to a person's arm, leg or back. Different to prior work, we present an extensive study on design considerations for wearable displays in traffic. Based on interviews, experiments, and an online questionnaire with more than 100 participants, we identify potential placements, form factors, and use-cases. These findings enabled us to develop a wearable display system for traffic safety, called beSeen. It can be attached to different parts of the human body, such as arms, legs, or the back. Our device unobtrusively recognizes turn indication gestures, braking, and its placement on the body. We evaluate beSeen's performance and show that it can be reliably used for enhancing traf fic safety
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