Swiss-cheese extended

Große-Puppendahl, Tobias; Braun, Andreas; Kamieth, Felix; Kuijper, Arjan

doi:10.1145/2470654.2466186

Cited by 32 publications

(8 citation statements)

References 17 publications

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“…Although this "lens-less" property is a great advantage, it also serves as a limitation since capacitive sensors cannot "focus" their sensing on a specific area, which can reduce range [73,190,225] and introduce ambiguous readings [188,66]. Additional limitations include electromagnetic noise [67,38,37] in the face of insufficient grounding, particularly on wearable devices [36].…”

Section: Advantages and Limitationsmentioning

confidence: 99%

“…For example, spatial models [66,67,168] help recognize the underdetermination of a problem [168], and produce inferences that are less dependent on users [198,138] and environments. Using these models, a spatial representation of the surroundings can be obtained much like a 3D camera [53,186].…”

Section: Implications For Real-world Deploymentsmentioning

confidence: 99%

“…This area of research is often called free space electric field tomography and was extensively researched in the 1990s [190,186,188]. Since then, little work has followed on developing spatial models that leverage electric field imaging [66]. A renewed effort around physically-motivated spatial models could enable capacitive sensing to truly 'see' the world, as such models provide an intermediary layer between raw sensor readings and machine learning by reconstructing human body parts in full 3D to provide an even richer context.…”

Section: Implications For Real-world Deploymentsmentioning

confidence: 99%

“…More recent work has investigated generic proximity-sensing surfaces that sense 3D input to control computers [1,2,14,16,48,66,78,120] and home automation systems [62]. More specialized deployments recognize proximity-based gestures in cars [17,46] or on clothing [185].…”

Section: D Gesture Sensingmentioning

confidence: 99%

“…In transmit mode, equivalent circuit models describe the coupling between the transmit and receive electrodes and the body [40, 67,205]. Equivalent circuit models exist for shunt mode [55], which often use point charge estimations [66,187] to model distance relationships. To compensate for physical inaccuracies, experimentally determined correction factors [66,67,187] or customized fit functions [156,206] are applied.…”

Section: Modeling and Physical Understandingmentioning

confidence: 99%

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Finding Common Ground

Große-Puppendahl

Holz

Cohn

et al. 2017

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

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159

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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.

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