Yeo, Joey Joo Sii (2023) Development of a wearable self-powered sensor using triboelectric mechanism for human-machine interaction. Final Year Project, UTAR.
Abstract
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.
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