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SkinBot: A Wearable Skin Climbing Robot

Authors:

Joseph ParadisoAuthors Info & Claims

UIST '17 Adjunct: Adjunct Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology

Pages 5 - 6

https://doi.org/10.1145/3131785.3131796

Published: 20 October 2017 Publication History

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Abstract

We introduce SkinBot; a lightweight robot that moves over the skin surface with a two-legged suction-based locomotion mechanism and that captures a wide range of body parameters with an exchangeable multipurpose sensing module. We believe that robots that live on our skin such as SkinBot will enable a more systematic study of the human body and will offer great opportunities to advance many areas such as telemedicine, human-computer interfaces, body care, and fashion.

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References

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Shtarbanov AZhu MColonnese NHajiagha Memar A(2023)SleeveIO: Modular and Reconfigurable Platform for Multimodal Wearable Haptic Feedback InteractionsProceedings of the 36th Annual ACM Symposium on User Interface Software and Technology10.1145/3586183.3606739(1-15)Online publication date: 29-Oct-2023
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Yoshida KMurao K(2022)Load Position Estimation Method for Wearable Devices Based on Difference in Pulse Wave Arrival TimeSensors10.3390/s2203109022:3(1090)Online publication date: 31-Jan-2022
https://doi.org/10.3390/s22031090
Mucke JKrusche MBurmester G(2022)A broad look into the future of rheumatoid arthritisTherapeutic Advances in Musculoskeletal Disease10.1177/1759720X22107621114Online publication date: 9-Feb-2022
https://doi.org/10.1177/1759720X221076211
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Index Terms

SkinBot: A Wearable Skin Climbing Robot
1. Human-centered computing

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Information & Contributors

Information

Published In

UIST '17 Adjunct: Adjunct Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology

October 2017

217 pages

ISBN:9781450354196

DOI:10.1145/3131785

General Chair:
Krzysztof Gajos
Harvard University
,
Program Chairs:
Jennifer Mankoff
Carnegie Mellon University
,
Chris Harrison
Carnegie Mellon University

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 October 2017

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Demonstration

Conference

UIST '17

Sponsor:

UIST '17: The 30th Annual ACM Symposium on User Interface Software and Technology

October 22 - 25, 2017

QC, Québec City, Canada

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Overall Acceptance Rate 561 of 2,567 submissions, 22%

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Cited By

View all

Shtarbanov AZhu MColonnese NHajiagha Memar A(2023)SleeveIO: Modular and Reconfigurable Platform for Multimodal Wearable Haptic Feedback InteractionsProceedings of the 36th Annual ACM Symposium on User Interface Software and Technology10.1145/3586183.3606739(1-15)Online publication date: 29-Oct-2023
https://dl.acm.org/doi/10.1145/3586183.3606739
Yoshida KMurao K(2022)Load Position Estimation Method for Wearable Devices Based on Difference in Pulse Wave Arrival TimeSensors10.3390/s2203109022:3(1090)Online publication date: 31-Jan-2022
https://doi.org/10.3390/s22031090
Mucke JKrusche MBurmester G(2022)A broad look into the future of rheumatoid arthritisTherapeutic Advances in Musculoskeletal Disease10.1177/1759720X22107621114Online publication date: 9-Feb-2022
https://doi.org/10.1177/1759720X221076211
Liu FPatil VErickson ZTemel Z(2022)Characterization of a Meso-Scale Wearable Robot for Bathing Assistance2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)10.1109/ROBIO55434.2022.10011741(2146-2152)Online publication date: 5-Dec-2022
https://doi.org/10.1109/ROBIO55434.2022.10011741
Bhatia AKundu DAgarwal SKairon VParnami AKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)Soma-noti: Delivering Notifications Through Under-clothing WearablesProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445123(1-8)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445123
Yoshida KMurao KFarrahi KHarle RLane N(2019)Estimating load positions of wearable devices based on difference in pulse wave arrival timeProceedings of the 2019 ACM International Symposium on Wearable Computers10.1145/3341163.3347743(234-243)Online publication date: 9-Sep-2019
https://dl.acm.org/doi/10.1145/3341163.3347743
Dobbelstein DStemasov EBesserer DStenske IRukzio EKunze KBalan RLee YBeigl MPeiris R(2018)MoveletProceedings of the 2018 ACM International Symposium on Wearable Computers10.1145/3267242.3267249(33-39)Online publication date: 8-Oct-2018
https://dl.acm.org/doi/10.1145/3267242.3267249
Vaqueiro YParsinejad PSipahi RLorenzo J(2018)Development of a combined time-frequency technique for accurate extraction of pNN50 metric from noisy heart rate measurementsInternational Journal of Intelligent Robotics and Applications10.1007/s41315-018-0052-z2:2(193-208)Online publication date: 20-Mar-2018
https://doi.org/10.1007/s41315-018-0052-z

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