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TextureSight: Texture Detection for Routine Activity Awareness with Wearable Laser Speckle Imaging

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Yang ZhangAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 7, Issue 4

Article No.: 184, Pages 1 - 27

https://doi.org/10.1145/3631413

Published: 12 January 2024 Publication History

Abstract

Objects engaged by users' hands contain rich contextual information for their strong correlation with user activities. Tools such as toothbrushes and wipes indicate cleansing and sanitation, while mice and keyboards imply work. Much research has been endeavored to sense hand-engaged objects to supply wearables with implicit interactions or ambient computing with personal informatics. We propose TextureSight, a smart-ring sensor that detects hand-engaged objects by detecting their distinctive surface textures using laser speckle imaging on a ring form factor. We conducted a two-day experience sampling study to investigate the unicity and repeatability of the object-texture combinations across routine objects. We grounded our sensing with a theoretical model and simulations, powered it with state-of-the-art deep neural net techniques, and evaluated it with a user study. TextureSight constitutes a valuable addition to the literature for its capability to sense passive objects without emission of EMI or vibration and its elimination of lens for preserving user privacy, leading to a new, practical method for activity recognition and context-aware computing.

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Cited By

Sahu NGupta SLone H(2024)Wearable Technology Insights: Unveiling Physiological Responses During Three Different Socially Anxious ActivitiesACM Journal on Computing and Sustainable Societies10.1145/36636712:2(1-23)Online publication date: 20-Jun-2024
https://dl.acm.org/doi/10.1145/3663671
Wang JFeng YKumbhar GWang GYan QJin QFerrier RXiong JLi TOkoshi TKo JLiKamWa R(2024)SoilCares: Towards Low-cost Soil Macronutrients and Moisture Monitoring Using RF-VNIR SensingProceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services10.1145/3643832.3661868(196-209)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3643832.3661868
Liu CDong ZHuang LYan WWang XFang DChen X(2024)TagSleep3DProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435128:1(1-28)Online publication date: 6-Mar-2024
https://dl.acm.org/doi/10.1145/3643512
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Index Terms

TextureSight: Texture Detection for Routine Activity Awareness with Wearable Laser Speckle Imaging
1. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Ubiquitous and mobile devices

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 7, Issue 4

December 2023

1613 pages

EISSN:2474-9567

DOI:10.1145/3640795

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Copyright © 2024 Owner/Author.

This work is licensed under a Creative Commons Attribution-NonCommercial International 4.0 License.

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Association for Computing Machinery

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Published: 12 January 2024

Published in IMWUT Volume 7, Issue 4

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Cited By

Sahu NGupta SLone H(2024)Wearable Technology Insights: Unveiling Physiological Responses During Three Different Socially Anxious ActivitiesACM Journal on Computing and Sustainable Societies10.1145/36636712:2(1-23)Online publication date: 20-Jun-2024
https://dl.acm.org/doi/10.1145/3663671
Wang JFeng YKumbhar GWang GYan QJin QFerrier RXiong JLi TOkoshi TKo JLiKamWa R(2024)SoilCares: Towards Low-cost Soil Macronutrients and Moisture Monitoring Using RF-VNIR SensingProceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services10.1145/3643832.3661868(196-209)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3643832.3661868
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https://dl.acm.org/doi/10.1145/3643512
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