Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems 2020
DOI: 10.1145/3313831.3376269
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ShArc: A Geometric Technique for Multi-Bend/Shape Sensing

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Cited by 21 publications
(10 citation statements)
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“…The form factors of the strips are built based on the dimensionality, capability, and limitations of the existing technologies of NURBSforms [18]. Furthermore, we considered the self-shape sensing features that have been demonstrated in FlexiBend [1] and ShArc [16] to be integrated into each strip. Together we illustrate the use case and the workflow according to the capability and limitations of the described in NURBSforms.…”
Section: Shapeshare: a Conceptual Modular Shape-changing Interface To...mentioning
confidence: 99%
See 1 more Smart Citation
“…The form factors of the strips are built based on the dimensionality, capability, and limitations of the existing technologies of NURBSforms [18]. Furthermore, we considered the self-shape sensing features that have been demonstrated in FlexiBend [1] and ShArc [16] to be integrated into each strip. Together we illustrate the use case and the workflow according to the capability and limitations of the described in NURBSforms.…”
Section: Shapeshare: a Conceptual Modular Shape-changing Interface To...mentioning
confidence: 99%
“…In this paper, we envision the integration of NURBSforms [18], modular constructive assembly of strip actuators, and the existed self-shape sensing technologies [1,16] as the means to establish a mutually understandable prototype in remote collaboration. NURB-Sforms are effective in variable curve modeling through a modular shape-changing interface.…”
Section: Introductionmentioning
confidence: 99%
“…Due to the ubiquitous nature of wearable devices, researchers have focused on building finger gesture recognition systems with familiar form factors such as wrist bands or bracelets [44,47], data gloves [4,54], smart rings [71,72], other finger-worn devices [59] and wearable skins [49]. Recently, more focus has been directed towards increasingly comfortable and non-obtrusive devices worn on the wrist or forearm, incorporating sensing technologies such as optical sensing [40], ultrasound [34,80], electrical impedance [65,82], electromyography (EMG) [47] and mechanomyography (MMG) [16,44].…”
Section: Introductionmentioning
confidence: 99%
“…ShArc, developed by Shahmiri and Dietz, developed a bend sensor capable of accurately measuring multiple bends along its length producing a shape or curve [49]. They achieve this by measuring the relative shift between two coherent electrodes from the bottom and top layers.…”
Section: Bend Sensormentioning
confidence: 99%
“…They found that the hardness levels greater than 30A were significantly more difficult to perform bend gestures with. Our initial Thermoplastic Urethane (TPU) prototypes had a shore hardness level of 95A while our Elastic Polymer prototypes had a level of 50A being much softer material.Shahmiri and Dietz developed ShArc, a bend or shape sensor capable of accurately measuring multiple bends along its length[49]. They achieve this by measuring the relative shift between two coherent electrodes from the bottom and top layers.…”
mentioning
confidence: 99%