Project Jacquard

Poupyrev, Ivan; Gong, Nan‐Wei; Fukuhara, Shiho; Karagozler, Mustafa Emre; Schwesig, Carsten; Robinson, Karen E.

doi:10.1145/2858036.2858176

Cited by 269 publications

(61 citation statements)

References 35 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%

“…An inherent challenge arises when flexible interfaces are worn in close proximity to the body, as human motion causes substantial capacitance changes between the electrodes and the body [76,152]. To prevent false activation, it becomes necessary to sense the deformation or motion of the electrode to compensate for artifacts in the signal.…”

Section: Enabling Flexible and Stretchable Applicationsmentioning

confidence: 99%

“…Recent advances in material science and chemical engineering have resulted in conductive polymers for the creation of flexible and stretchable electronics [128], conductive yarns [152], foils [137], liquid metals [44,128,125], and non-rigid micro and nano-structures [83,193]. These new materials are well suited for interfacing with the organic and dynamic contours of the human body.…”

Section: Enabling Flexible and Stretchable Applicationsmentioning

confidence: 99%

“…Some wearable applications include touch surfaces on belts [43], finger rings [26,218], devices worn near the ear [126], on fingernails [103], or even implanted underneath skin [96]. Following the emergence of flexible conductive materials, such as conductive paint and yarn, wearable interfaces have made hair extensions touch-sensitive [208] and enabled touch sensing on clothing [76,92,152]. Sensing touch input directly on the human body has recently been explored through augmenting skin with tattoos [98,217].…”

Section: Touch Sensingmentioning

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

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%

Section: Enabling Flexible and Stretchable Applicationsmentioning

confidence: 99%

Section: Enabling Flexible and Stretchable Applicationsmentioning

confidence: 99%

Section: Touch Sensingmentioning

confidence: 99%

See 2 more Smart Citations

Finding Common Ground

Große-Puppendahl

Holz

Cohn

et al. 2017

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

160

View full text Add to dashboard Cite

show abstract

“…13 Recent years have seen the growth of wearable sensors such as wrist-worn accelerometers, wrist bands, and headgear for gesture recognition. More recently there is a surge of systems where sensors can be built into items of daily use such as clothing 5 for gesture recognition. While most of these systems are touch-based, our textile sensor system is touchless and uses change in capacitance to measure movement in the proximity of the sensors.…”

mentioning

confidence: 99%

Evaluating touchless capacitive gesture recognition as an assistive device for upper extremity mobility impairment

Nelson

Waller

Robucci

et al. 2018

Journal of Rehabilitation and Assistive Technologies Engineerin

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Introduction: This paper explores the feasibility of using touchless textile sensors as an input to environmental control for individuals with upper-extremity mobility impairments. These sensors are capacitive textile sensors embedded into clothing and act as proximity sensors. Methods: We present results from five individuals with spinal cord injury as they perform gestures that mimic an alphanumeric gesture set. The gestures are used for controlling appliances in a home setting. Our setup included a custom visualization that provides feedback to the individual on how the system is tracking the movement and the type of gesture being recognized. Our study included a two-stage session at a medical school with five subjects with upper extremity mobility impairment. Results: The experimenting sessions derived binary gesture classification accuracies greater than 90% on average. The sessions also revealed intricate details in participant's motions, from which we draw two key insights on the design of the wearable sensor system. Conclusion: First, we provide evidence that personalization is a critical ingredient to the success of wearable sensing in this population group. The sensor hardware, the gesture set, and the underlying gesture recognition algorithm must be personalized to the individual's need and injury level. Secondly, we show that explicit feedback to the user is useful when the user is being trained on the system. Moreover, being able to see the end goal of controlling appliances using the system is a key motivation to properly learn gestures.

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