PneuSleeve: In-fabric Multimodal Actuation and Sensing in a Soft, Compact, and Expressive Haptic Sleeve

要旨

Integration of soft haptic devices into garments can improve their usability and wearability for daily computing interactions. In this paper, we introduce PneuSleeve, a fabric-based, compact, and highly expressive forearm sleeve which can render a broad range of haptic stimuli including compression, skin stretch, and vibration. The haptic stimuli are generated by controlling pneumatic pressure inside embroidered stretchable tubes. The actuation configuration includes two compression actuators on the proximal and distal forearm, and four uniformly distributed linear actuators around and tangent to the forearm. Further, to ensure a suitable grip force, two soft mutual capacitance sensors are fabricated and integrated into the compression actuators, and a closed-loop force controller is implemented. We physically characterize the static and dynamic behavior of the actuators, as well as the performance of closed-loop control. We quantitatively evaluate the psychophysical characteristics of the six actuators in a set of user studies. Finally, we show the expressiveness of PneuSleeve by evaluating combined haptic stimuli using subjective assessments.

受賞
Honorable Mention
キーワード
Haptics
pneumatic actuation
wearables
closed-loop haptic rendering
vibration
compression
skin stretch
multimodal haptic display
著者
Mengjia Zhu
Facebook Reality Labs & University of California, Santa Barbara, Redmond, WA, USA
Amirhossein H. Memar
Facebook Reality Labs, Redmond, WA, USA
Aakar Gupta
Facebook Reality Labs, Redmond, WA, USA
Majed Samad
Facebook Reality Labs, Redmond, WA, USA
Priyanshu Agarwal
Facebook Reality Labs, Redmond, WA, USA
Yon Visell
University of California, Santa Barbara, Santa Barbara, CA, USA
Sean J. Keller
Facebook Reality Labs, Redmond, WA, USA
Nicholas Colonnese
Facebook Reality Labs, Redmond, WA, USA
DOI

10.1145/3313831.3376333

論文URL

https://doi.org/10.1145/3313831.3376333

動画

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: You can feel it

Paper session
312 NI'IHAU
5 件の発表
2020-04-27 23:00:00
2020-04-28 00:15:00
日本語まとめ
読み込み中…