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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
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dc.contributor.advisor | 陳湘鳳(Shana Smith) | |
dc.contributor.author | Zi-Hao Lin | en |
dc.contributor.author | 林子皓 | zh_TW |
dc.date.accessioned | 2021-07-11T14:41:22Z | - |
dc.date.available | 2021-11-02 | |
dc.date.copyright | 2016-11-02 | |
dc.date.issued | 2016 | |
dc.date.submitted | 2016-08-21 | |
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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/78072 | - |
dc.description.abstract | Virtual Reality (VR) and Augmented Reality (AR) technology are increasingly used in complex engineering applications; however, VR and AR systems provide limited haptic feedback in these applications. In order to solve this problem, a method for providing realistic haptic feedback was designed in this research. A recording device combined accelerometer and force sensor was designed to record the real texture, and a simulation device combined accelerometer, force sensor, and piezo actuator was designed to simulate the actuator haptic feedback.
The recorded data from the recording device was processed to be the simulation data using a neural network. The neural network was used to train an approximate function. This function was programed into the simulation device, so that the simulation device can create corresponding tactile feedback which was recorded from the recording device. With our method, we can provide realistic haptic feedback and perform real-time feedback in natural operation. | en |
dc.description.provenance | Made available in DSpace on 2021-07-11T14:41:22Z (GMT). No. of bitstreams: 1 ntu-105-R03522640-1.pdf: 6070776 bytes, checksum: 4ab0fcbf98b41b33d836c88faa215963 (MD5) Previous issue date: 2016 | en |
dc.description.tableofcontents | Acknowledgement i
ABSTRACT ii CONTENTS iii LIST OF FIGURES v LIST OF TABLES ix Chapter 1 Introduction 1 1.1Equation Chapter 1 Section 1 Background 1 1.2 Motivation and purpose 2 Chapter 2 Literature Review 3 2.1 Haptic Feedback Device 3 2.1.1 DC motor 3 2.1.2 Voice coil actuator 7 2.1.3 Piezoelectric materials 8 2.1.4 Speakers 10 2.1.5 Pneumatic stimulation 10 2.1.6 Smart fluid 12 2.1.7 Electrostatic 13 2.2 Vibrotactile 15 2.3 Signal processing methods 17 2.3.1 Reducing the Dimension 17 2.3.2 Neural networks 19 2.3.3 Band pass filter 19 Chapter 3 Research methodology 21 3.1 Record texture data 22 3.2 Process texture data 30 3.3 Simulation 39 Chapter 4 Experiment and User Test 50 4.1 Experiment 50 4.1.1 Record texture data 52 4.1.2 Process texture data 57 4.1.3 Simulate texture data 61 4.2 User Test 65 4.2.1 Haptic feedback distinguish test 66 4.2.2 Haptic feedback intensity test 68 4.2.3 Haptic feedback texture distinguish test 72 4.3 Discussion 75 Chapter 5 Conclusion and Future Work 76 5.1 Conclusion 76 5.2 Future Work 76 REFERENCE 78 | |
dc.language.iso | en | |
dc.title | 應用類神經網路建立一個具有自然使用者介面之觸覺回饋裝置 | zh_TW |
dc.title | Applying Artificial Neural Networks to Develop A Haptic Feedback Device with Natural User Interface | en |
dc.type | Thesis | |
dc.date.schoolyear | 104-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 詹魁元(Kuei-Yuan Chan),蘇偉(Wei-Jiun Su) | |
dc.subject.keyword | 觸覺回饋,紋理感知,振觸覺,類神經網路,自然使用者介面,壓電致動器, | zh_TW |
dc.subject.keyword | Haptics Feedback,Tactile Sensation,Vibrotactile,Neural Network,Natural User Interface,Piezo Actuator, | en |
dc.relation.page | 82 | |
dc.identifier.doi | 10.6342/NTU201603270 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2016-08-22 | |
dc.contributor.author-college | 工學院 | zh_TW |
dc.contributor.author-dept | 機械工程學研究所 | zh_TW |
顯示於系所單位: | 機械工程學系 |
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