Soft Modular Glove with Multimodal Sensing and Augmented Haptic Feedback Enabled by Materials’ Multifunctionalities

Immersive communications rely on smart perception based on diversified and augmented sensing and feedback technologies. However, the increasing of functional components also raises the issue of increased system complexity. Here, we propose a modular soft glove with multimodal sensing and feedback fu...

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Published inACS nano Vol. 16; no. 9; pp. 14097 - 14110
Main Authors Zhu, Minglu, Sun, Zhongda, Lee, Chengkuo
Format Journal Article
LanguageEnglish
Published United States American Chemical Society 27.09.2022
Subjects
Feedback
Hand
Haptic Technology
Humans
Motion
Touch
multimodal haptic feedback
triboelectric
modular glove
machine learning
augmented feedback
tactile sensing
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Abstract Immersive communications rely on smart perception based on diversified and augmented sensing and feedback technologies. However, the increasing of functional components also raises the issue of increased system complexity. Here, we propose a modular soft glove with multimodal sensing and feedback functions by exploring and utilizing the multiple properties of glove materials. With a single design of basic structure, the main functional unit possesses triboelectric-based sensing of static and dynamic contact, vibration, strain, and pneumatic actuation. Additionally, the same unit is also capable of offering pneumatic tactile haptic feedback and electroresistive thermal haptic feedback. Together with a machine learning algorithm, the proposed glove not only performs real-time detection of dexterous hand motion and direct feedback but also realizes intelligent object recognition and augmented feedback, which significantly enhance the communication and perception of more comprehensive information. In general, this glove utilizes a facile designed sensing and feedback device to achieve dual-way and multimodal communication among humans, machines, and the virtual world via smart perceptions.
AbstractList Immersive communications rely on smart perception based on diversified and augmented sensing and feedback technologies. However, the increasing of functional components also raises the issue of increased system complexity. Here, we propose a modular soft glove with multimodal sensing and feedback functions by exploring and utilizing the multiple properties of glove materials. With a single design of basic structure, the main functional unit possesses triboelectric-based sensing of static and dynamic contact, vibration, strain, and pneumatic actuation. Additionally, the same unit is also capable of offering pneumatic tactile haptic feedback and electroresistive thermal haptic feedback. Together with a machine learning algorithm, the proposed glove not only performs real-time detection of dexterous hand motion and direct feedback but also realizes intelligent object recognition and augmented feedback, which significantly enhance the communication and perception of more comprehensive information. In general, this glove utilizes a facile designed sensing and feedback device to achieve dual-way and multimodal communication among humans, machines, and the virtual world via smart perceptions.Immersive communications rely on smart perception based on diversified and augmented sensing and feedback technologies. However, the increasing of functional components also raises the issue of increased system complexity. Here, we propose a modular soft glove with multimodal sensing and feedback functions by exploring and utilizing the multiple properties of glove materials. With a single design of basic structure, the main functional unit possesses triboelectric-based sensing of static and dynamic contact, vibration, strain, and pneumatic actuation. Additionally, the same unit is also capable of offering pneumatic tactile haptic feedback and electroresistive thermal haptic feedback. Together with a machine learning algorithm, the proposed glove not only performs real-time detection of dexterous hand motion and direct feedback but also realizes intelligent object recognition and augmented feedback, which significantly enhance the communication and perception of more comprehensive information. In general, this glove utilizes a facile designed sensing and feedback device to achieve dual-way and multimodal communication among humans, machines, and the virtual world via smart perceptions.
Immersive communications rely on smart perception based on diversified and augmented sensing and feedback technologies. However, the increasing of functional components also raises the issue of increased system complexity. Here, we propose a modular soft glove with multimodal sensing and feedback functions by exploring and utilizing the multiple properties of glove materials. With a single design of basic structure, the main functional unit possesses triboelectric-based sensing of static and dynamic contact, vibration, strain, and pneumatic actuation. Additionally, the same unit is also capable of offering pneumatic tactile haptic feedback and electroresistive thermal haptic feedback. Together with a machine learning algorithm, the proposed glove not only performs real-time detection of dexterous hand motion and direct feedback but also realizes intelligent object recognition and augmented feedback, which significantly enhance the communication and perception of more comprehensive information. In general, this glove utilizes a facile designed sensing and feedback device to achieve dual-way and multimodal communication among humans, machines, and the virtual world via smart perceptions.
Author Sun, Zhongda
Zhu, Minglu
Lee, Chengkuo
AuthorAffiliation Department of Electrical & Computer Engineering
Jiangsu Provincial Key Laboratory of Advanced Robotics, School of Mechanical and Electric Engineering
National University of Singapore Suzhou Research Institute (NUSRI)
Soochow University
NUS Graduate School-Integrative Sciences and Engineering Program (ISEP)
Center for Sensors and MEMS
AuthorAffiliation_xml – name: Center for Sensors and MEMS
– name: Soochow University
– name: NUS Graduate School-Integrative Sciences and Engineering Program (ISEP)
– name: National University of Singapore Suzhou Research Institute (NUSRI)
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  surname: Lee
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  email: elelc@nus.edu.sg
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/35998364$$D View this record in MEDLINE/PubMed
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triboelectric
modular glove
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Snippet Immersive communications rely on smart perception based on diversified and augmented sensing and feedback technologies. However, the increasing of functional...
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SubjectTerms Feedback
Hand
Haptic Technology
Humans
Motion
Touch
Title Soft Modular Glove with Multimodal Sensing and Augmented Haptic Feedback Enabled by Materials’ Multifunctionalities
URI http://dx.doi.org/10.1021/acsnano.2c04043
https://www.ncbi.nlm.nih.gov/pubmed/35998364
https://www.proquest.com/docview/2706182421
Volume 16
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