SkinTrack

Zhang, Yang; Zhou, Junhan; Laput, Gierad; Harrison, Chris

doi:10.1145/2858036.2858082

Cited by 104 publications

(14 citation statements)

References 51 publications

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“…However, some capacitive sensing approaches leverage higher frequencies, e.g., by detuning an RFID antenna [108,124], measuring phase differences of signals capacitively coupled to the human body [231], or measuring reflections caused by capacitive changes along a transmission line [81,105,222].…”

Section: Physical Principles Of Capacitive Sensingmentioning

confidence: 99%

Finding Common Ground

Große-Puppendahl

Holz

Cohn

et al. 2017

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

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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Section: Physical Principles Of Capacitive Sensingmentioning

confidence: 99%

Finding Common Ground

Große-Puppendahl

Holz

Cohn

et al. 2017

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

159

View full text Add to dashboard Cite

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“…Much of the existing on-body input research has focused on interacting around smartwatches (e.g., [20]) as they provide both close-by visual feedback and a convenient housing for sensors. Prototypes have demonstrated the feasibility of IR sensors [18,24,36], capacitive touch [23], magnetic techniques [10], as well as approaches that send electrical [45] or ultrasonic [21] signals through the body for on-body input around smartwatches.…”

Section: On-body Sensing In Hcimentioning

confidence: 99%

zPatch

Strohmeier

Knibbe

Boring

et al. 2018

Proceedings of the Twelfth International Conference on Tangible, Embedded, and Embodied Interaction

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“…Where we focus on output on the skin, this could be coupled with one of the many approaches for on-skin input. Examples of such systems are SkinTrack [63], AuraSense [64], Sen-Skin [42], or Sound of Touch [38]. By combining on-skin input with output, complete interactive systems can be realized, such as in Laput et al's Skin Buttons [28].…”

Section: Skin-based Input and Outputmentioning

confidence: 99%

ElectricItch

Pohl

Hornbæk

2018

Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology

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Grabbing users' attention is a fundamental aspect of interactive systems. However, there is a disconnect between the ways our devices notify us and how our bodies do so naturally. In this paper, we explore the body's modality of itching as a way to provide such natural feedback. We create itching sensations via low-current electric stimulation, which allows us to quickly generate this sensation on demand. In a first study we explore the design space around itching and how changes in stimulation parameters influence the resulting sensation. In a second study we compare vibration feedback and itching integrated in a smartwatch form factor. We find that we can consistently induce itching sensations and that these are perceived as more activating and interrupting than vibrotactile stimuli. CCS Concepts •Human-centered computing → Haptic devices; Empirical studies in HCI;

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SkinTrack

Cited by 104 publications

References 51 publications

Finding Common Ground

Finding Common Ground

zPatch

ElectricItch

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