Wearable multimode perceptual interaction electronic fabrics

Advanced functional fibers enable traditional fabrics to perform a variety of functions, including energy harvesting/storage, sensing, information communication, and display, and they show promise in a wide range of fields due to their flexibility and abrasion resistance. At the same time, these int...

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Bibliographic Details
Main Author: Su, Yifan
Other Authors: Wei Lei
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2025
Subjects:
Online Access:https://hdl.handle.net/10356/182459
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author Su, Yifan
author2 Wei Lei
author_facet Wei Lei
Su, Yifan
author_sort Su, Yifan
collection NTU
description Advanced functional fibers enable traditional fabrics to perform a variety of functions, including energy harvesting/storage, sensing, information communication, and display, and they show promise in a wide range of fields due to their flexibility and abrasion resistance. At the same time, these interactive fabrics can sense and respond to a wide range of physical and environmental stimuli, such as pressure, temperature, motion and biological signals. Their key features include lightweight construction, high sensitivity, versatility and scalability. In addition, they are typically washable and can be adapted to a variety of fabric textures, ensuring their utility in everyday life. This thesis begins with an introduction to cobalt hydroxide, and how this material can be combined with carbon nanotubes to prepare flexible fiber electrodes and assemble ionic devices to demonstrate a specific example of flexible fibers with hysteretic biosignaling properties, which illustrates the amazing potential of applications of electrodes with flexible fiber materials. Subsequently, the current-voltage and voltage-current characteristics of the ionic device are tested and explained in depth by constructing a circuit model. After analyzing the test data, it is found that the ionic device has synapse-like long timerange plasticity, whose short time-range plasticity is complemented by the introduction of the ion recycling mechanism. Finally, a circuit design including MCU, communication module, voltage conversion module, electrical stimulation module, thermoelectric module, mechanical actuator module, and multiplexer is constructed to sample the crossbar currents or voltages so as to represent the phenomenon of resistive jumps of the fiber arrays, which is of great significance for multifunctional fibers applications.
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spelling ntu-10356/1824592025-02-07T15:48:15Z Wearable multimode perceptual interaction electronic fabrics Su, Yifan Wei Lei School of Electrical and Electronic Engineering Centre for Optical Fibre Technology wei.lei@ntu.edu.sg Chemistry Computer and Information Science Engineering Multimodal interaction Cobalt hydroxide Sampling circuit Ion recovery Synaptic memory effect Carbon nanotube Ion Device Flexible fiber array Advanced functional fibers enable traditional fabrics to perform a variety of functions, including energy harvesting/storage, sensing, information communication, and display, and they show promise in a wide range of fields due to their flexibility and abrasion resistance. At the same time, these interactive fabrics can sense and respond to a wide range of physical and environmental stimuli, such as pressure, temperature, motion and biological signals. Their key features include lightweight construction, high sensitivity, versatility and scalability. In addition, they are typically washable and can be adapted to a variety of fabric textures, ensuring their utility in everyday life. This thesis begins with an introduction to cobalt hydroxide, and how this material can be combined with carbon nanotubes to prepare flexible fiber electrodes and assemble ionic devices to demonstrate a specific example of flexible fibers with hysteretic biosignaling properties, which illustrates the amazing potential of applications of electrodes with flexible fiber materials. Subsequently, the current-voltage and voltage-current characteristics of the ionic device are tested and explained in depth by constructing a circuit model. After analyzing the test data, it is found that the ionic device has synapse-like long timerange plasticity, whose short time-range plasticity is complemented by the introduction of the ion recycling mechanism. Finally, a circuit design including MCU, communication module, voltage conversion module, electrical stimulation module, thermoelectric module, mechanical actuator module, and multiplexer is constructed to sample the crossbar currents or voltages so as to represent the phenomenon of resistive jumps of the fiber arrays, which is of great significance for multifunctional fibers applications. Master's degree 2025-02-03T12:42:49Z 2025-02-03T12:42:49Z 2024 Thesis-Master by Coursework Su, Y. (2024). Wearable multimode perceptual interaction electronic fabrics. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/182459 https://hdl.handle.net/10356/182459 en application/pdf Nanyang Technological University
spellingShingle Chemistry
Computer and Information Science
Engineering
Multimodal interaction
Cobalt hydroxide
Sampling circuit
Ion recovery
Synaptic memory effect
Carbon nanotube
Ion Device
Flexible fiber array
Su, Yifan
Wearable multimode perceptual interaction electronic fabrics
title Wearable multimode perceptual interaction electronic fabrics
title_full Wearable multimode perceptual interaction electronic fabrics
title_fullStr Wearable multimode perceptual interaction electronic fabrics
title_full_unstemmed Wearable multimode perceptual interaction electronic fabrics
title_short Wearable multimode perceptual interaction electronic fabrics
title_sort wearable multimode perceptual interaction electronic fabrics
topic Chemistry
Computer and Information Science
Engineering
Multimodal interaction
Cobalt hydroxide
Sampling circuit
Ion recovery
Synaptic memory effect
Carbon nanotube
Ion Device
Flexible fiber array
url https://hdl.handle.net/10356/182459
work_keys_str_mv AT suyifan wearablemultimodeperceptualinteractionelectronicfabrics