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Artificial Tactile Sensor based on Pressure & Temperature Hybrid Sensing System for Thermal Detection

Title
Artificial Tactile Sensor based on Pressure & Temperature Hybrid Sensing System for Thermal Detection
Alternative Title
열 감지를 위한 압력 및 온도 하이브리드 시스템 기반 인공 촉각 센서
Author(s)
Minsoo Kang
DGIST Authors
Minsoo KangJae Eun JangHongki Kang
Advisor
장재은
Co-Advisor(s)
Hongki Kang
Issued Date
2021
Awarded Date
2021/02
Type
Thesis
Subject
Piezoelectric Pressure sensor, resistive temperature sensor, artificial tactile sensor, multi-sensing, 촉각센서, 피에조, 저항식 온도센서, 다중 감지 시스템
Abstract
Artificial tactile sensors with various types of sensing mechanism have been developed in order to mimic the human’s tactile sensations in nowadays. Among many input parameters which provide useful information about skin state, especially, sensations of temperature and pressure are the most important tactile factors, because these can be used to generate advanced tactile sensation such as pain, vibration, hardness. Therefore, these two senses are the important mimic points of artificial skin technology, for realization of an artificial tactile system. we should consider mechanisms to detect these two parameters, temperature and pressure, and a systematic integration. To measure these external stimuli, data acquisition with connecting wire between the sensor and the signal processor are required. However, when integrating numerous amount of various unit sensors, the same number of wires as elements are required. As a result, numerous wire connections cause the limitation of designing sensors with complexity of the sensor structure.
In this paper, the design of temperature sensor was simplified utilizing a single resistor placed on top layer of the hybrid sensor system and the method was studied to enhance sensitivity of thermal detection the same as one of the multi-thermal sensor array design. To measure exact the temperature value of object, which is smaller than the size of sensor, the signal processes was developed by capturing maximum slope of the resistance variation on a single resistive sensor and utilizing the area information which is acquired from micro sized pressure sensor arrays positioned under the temperature sensor. Slope provides information related to total thermal energy and a more precise temperature value was calculated utilizing an area information on pressure sensor arrays. As a result, the hybrid tactile sensor detected successfully the temperature levels from various dimensional contact stimuli with under 300msec response time as well as different pressure levels and the shape of objects.
Table Of Contents
Abstract i
List of contents ii
List of figures iv

Ⅰ. INTRODUCTION
1.1 Overview 1
1.2 Motivation 2

Ⅱ. BACKGROUDNS
2.1 Human Tactile Sensing system 5
2.1.1 Tactile Receptors 5
2.2 Previous Works 7
2.2.1 Pressure Sensor 7
2.2.1.1 Piezoelectric Sensor 7
2.2.1.2 Capacitive Sensor 8
2.2.1.3 Triboelectric Sensor 8
2.2.1.4 Piezoresistive Sensor 9
2.2.2 Temperature Sensor 9
2.2.2.1 Pyroelectric Sensor 9
2.2.2.2 Thermoelectric Sensor 10
2.2.2.3 Resistive Temperature Sensor 10
2.2.3 Multi Sensor 11
2.3 Principle of Piezoelectricity 11
2.4 Principles of Resistive Temperature Sensor 13

Ⅲ. EXPERIMENTAL DETAILS
3.1 Device Structure 14
3.2 Device Concept 15
3.3 Device Fabrication 17
3.3 Experimental Setup 20

Ⅳ. RESULTS AND DISCUSSION
4.1 Temperature sensor signal 22
4.1.1 Fast detection 26
4.1.2 Area classification 31
4.2 Pressure sensor signal 33
4.3 Hybrid sensor signal 37
4.3.1 Equation analysis 38
4.3.2 Signal classification 40

Ⅴ. CONCLUSION 45
URI
http://dgist.dcollection.net/common/orgView/200000362675

http://hdl.handle.net/20.500.11750/16663
DOI
10.22677/thesis.200000362675
Degree
Master
Department
Information and Communication Engineering
Publisher
DGIST
Related Researcher
  • 장재은 Jang, Jae Eun
  • Research Interests Nanoelectroinc device; 생체 신호 센싱 시스템 및 생체 모방 디바이스; 나노 통신 디바이스
Files in This Item:
200000362675.pdf

200000362675.pdf

기타 데이터 / 4.5 MB / Adobe PDF download
Appears in Collections:
Department of Electrical Engineering and Computer Science Theses Master

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