Trampoline

Han, Jaehyun; Gu, Jiseong; Lee, Geehyuk

doi:10.1145/2642918.2647381

Cited by 13 publications

(5 citation statements)

References 20 publications

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“…Flexible and stretchable interfaces enable new types of interaction [60,77] and support ubiquitous deployments, e.g., in fabric and clothing [8,30,152,185] or directly on the human body [98,103,217]. …”

Section: Enabling Flexible and Stretchable Applicationsmentioning

confidence: 99%

Finding Common Ground

Große-Puppendahl

Holz

Cohn

et al. 2017

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

160

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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: Enabling Flexible and Stretchable Applicationsmentioning

confidence: 99%

Finding Common Ground

Große-Puppendahl

Holz

Cohn

et al. 2017

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

160

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“…There has been little work that explored double-sided interaction for smart apparel. The previous work focused primarily on double-sided interaction in mobile and public interfaces [16,29,32,13,4]. The most straightforward approach to design such interfaces would be to simply adhere two single-sided interfaces back-to-back [4].…”

Section: Background and Related Workmentioning

confidence: 99%

ZebraSense

Fukuhara

Gillian

et al. 2020

Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology

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Figure 1. a) ZebraSense is a thin and flexible dual-sided textile touch sensor based on industrial multi-layer weaving techniques. b) Unique capacitive sensing structure enables capturing multi-touch gestures and distinguish which side of the sensor they take place. c) Novel smart apparel interfaces are possible with ZebraSense: swipe down on your cuff to control music, then roll up your sleeve to mute all incoming notifications for peace of mind.

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“…We refer to the survey by Grosse-Puppendahl et al [2017] for an exhaustive treatment. Notably, flexible and bendable sensors [Gotsch et al 2016;Han et al 2014;Poupyrev et al 2016] and those directly worn on the user's skin [Kao et al 2016;Nittala et al 2018;Weigel et al 2015] have been proposed. However, virtually all of the above work measures one or a combination of different capacitive coupling effects, that is, the change in capacitance due to a conductive object (such as a finger) approaching an electrode.…”

Section: Related Workmentioning

confidence: 99%

Deformation Capture via Soft and Stretchable Sensor Arrays

et al. 2019

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Fig. 1. Left to right: We propose a method for the fabrication of soft and stretchable silicone based capacitive sensor arrays. The sensor provides dense stretch measurements that, together with a data-driven prior, allow for the capture of surface deformations in real-time and without the need for line-of-sight.We propose a hardware and software pipeline to fabricate flexible wearable sensors and use them to capture deformations without line of sight. Our first contribution is a low-cost fabrication pipeline to embed multiple aligned conductive layers with complex geometries into silicone compounds. Overlapping conductive areas from separate layers form local capacitors that measure dense area changes. Contrary to existing fabrication methods, the proposed technique only requires hardware that is readily available in modern fablabs. While area measurements alone are not enough to reconstruct the full 3D deformation of a surface, they become sufficient when paired with a data-driven prior. A novel semi-automatic tracking algorithm, based on an elastic surface geometry deformation, allows to capture ground-truth data with an optical mocap system, even under heavy occlusions or partially unobservable markers. The resulting dataset is used to train a regressor based on deep neural networks, directly mapping the area readings to global positions of surface vertices. We demonstrate the flexibility and accuracy of the proposed hardware and software in a series of controlled experiments, and design a prototype of wearable wrist, elbow and biceps sensors, which do not require line-of-sight and can be worn below regular clothing.

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Trampoline

Cited by 13 publications

References 20 publications

Finding Common Ground

Finding Common Ground

ZebraSense

Deformation Capture via Soft and Stretchable Sensor Arrays

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