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Development of a wearable self-powered sensor using triboelectric mechanism for human-machine interaction

Rapid development of internet of things (IoT) has induced high demand for human-machine interaction (HMI) devices. Sensors as the device to detect physical parameters and convert them into electrical signal act an important role in HMI applications. Wearable devices is one of the famous HMI applicat...

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Main Author: Yeo, Joey Joo Sii
Format: Final Year Project / Dissertation / Thesis
Published: 2023
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://eprints.utar.edu.my/5823/1/MH_1804209_Final_JOEY_YEO_JOO_SII.pdf
http://eprints.utar.edu.my/5823/
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spelling my-utar-eprints.58232023-08-08T14:24:37Z Development of a wearable self-powered sensor using triboelectric mechanism for human-machine interaction Yeo, Joey Joo Sii TJ Mechanical engineering and machinery Rapid development of internet of things (IoT) has induced high demand for human-machine interaction (HMI) devices. Sensors as the device to detect physical parameters and convert them into electrical signal act an important role in HMI applications. Wearable devices is one of the famous HMI applications on-trend. Conventional sensors that are rigid, inflexible, and required bulky power sources become incompatible with wearable devices especially when it comes to seamless contact with soft and irregular surfaces such as human skin. Therefore, triboelectric nanogenerators (TENG) with stretchable materials are introduced. Through a triboelectric mechanism, TENG can transform mechanical energy into electrical energy. The generated potential difference can be used as a signal, making TENG a sensor that works independently and does not rely on a power supply. Ecoflex, a type of silicone rubber, is proposed as the contact material with skin for the wearable selfpowered sensor. The sensor operates by contact separation between the two materials and by single electrode mode. A simulation has been done, proving possibilities of using Ecoflex as contact materials and copper as electrode. The fabricated sensor can generate potential differences in the range of approximately -500 mV to 700 mV. The sensor can generate voltage based on the force applied on the sensor through tapping. The sensor is applied in human-machine interface (HMI) applications, which are to control the height of ball bouncing based on the voltage generated and control which lightemitting diodes (LEDs) to be light up based on the frequency of the voltage in a period. The sensor has proven possibilities of TENG as a wearable selfpowered sensor that can be applied in various applications. 2023 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/5823/1/MH_1804209_Final_JOEY_YEO_JOO_SII.pdf Yeo, Joey Joo Sii (2023) Development of a wearable self-powered sensor using triboelectric mechanism for human-machine interaction. Final Year Project, UTAR. http://eprints.utar.edu.my/5823/
institution Universiti Tunku Abdul Rahman
building UTAR Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tunku Abdul Rahman
content_source UTAR Institutional Repository
url_provider http://eprints.utar.edu.my
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Yeo, Joey Joo Sii
Development of a wearable self-powered sensor using triboelectric mechanism for human-machine interaction
description Rapid development of internet of things (IoT) has induced high demand for human-machine interaction (HMI) devices. Sensors as the device to detect physical parameters and convert them into electrical signal act an important role in HMI applications. Wearable devices is one of the famous HMI applications on-trend. Conventional sensors that are rigid, inflexible, and required bulky power sources become incompatible with wearable devices especially when it comes to seamless contact with soft and irregular surfaces such as human skin. Therefore, triboelectric nanogenerators (TENG) with stretchable materials are introduced. Through a triboelectric mechanism, TENG can transform mechanical energy into electrical energy. The generated potential difference can be used as a signal, making TENG a sensor that works independently and does not rely on a power supply. Ecoflex, a type of silicone rubber, is proposed as the contact material with skin for the wearable selfpowered sensor. The sensor operates by contact separation between the two materials and by single electrode mode. A simulation has been done, proving possibilities of using Ecoflex as contact materials and copper as electrode. The fabricated sensor can generate potential differences in the range of approximately -500 mV to 700 mV. The sensor can generate voltage based on the force applied on the sensor through tapping. The sensor is applied in human-machine interface (HMI) applications, which are to control the height of ball bouncing based on the voltage generated and control which lightemitting diodes (LEDs) to be light up based on the frequency of the voltage in a period. The sensor has proven possibilities of TENG as a wearable selfpowered sensor that can be applied in various applications.
format Final Year Project / Dissertation / Thesis
author Yeo, Joey Joo Sii
author_facet Yeo, Joey Joo Sii
author_sort Yeo, Joey Joo Sii
title Development of a wearable self-powered sensor using triboelectric mechanism for human-machine interaction
title_short Development of a wearable self-powered sensor using triboelectric mechanism for human-machine interaction
title_full Development of a wearable self-powered sensor using triboelectric mechanism for human-machine interaction
title_fullStr Development of a wearable self-powered sensor using triboelectric mechanism for human-machine interaction
title_full_unstemmed Development of a wearable self-powered sensor using triboelectric mechanism for human-machine interaction
title_sort development of a wearable self-powered sensor using triboelectric mechanism for human-machine interaction
publishDate 2023
url http://eprints.utar.edu.my/5823/1/MH_1804209_Final_JOEY_YEO_JOO_SII.pdf
http://eprints.utar.edu.my/5823/
_version_ 1775627988538228736
score 13.211869

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