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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 陳湘鳳(Shana Smith) | |
dc.contributor.author | Ping-Hua Lin | en |
dc.contributor.author | 林品樺 | zh_TW |
dc.date.accessioned | 2021-07-11T14:39:39Z | - |
dc.date.available | 2022-08-29 | |
dc.date.copyright | 2017-08-29 | |
dc.date.issued | 2017 | |
dc.date.submitted | 2017-02-07 | |
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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/78012 | - |
dc.description.abstract | Haptic feedback devices had been widely applied in virtual reality (VR) environment and other commercial products. Both tactile and kinesthetic haptic feedback methods had been studied and developed. Although, there are many researches had been done for discussing the pros and cons of those haptic feedback assisted systems. There are no researchers had tried to recreate the realistic lateral stroking movement in tactile feedback for mimicking human’s exploratory lateral motion. In other word, it is a difficult and challenging task to utilize now-existing devices to reproduce the texture information stimuli combining with the same continual perception like physical hand lateral touching.
This research is dedicated to recreate the lateral stroking stimuli to use’s fingertips through a customized developed wearable tactile feedback glove and the corresponding VR environment. First of all, roughness was chosen as the reproduced surface property, and the parameters which affect human tactile perceptions were determined. Second, the vertical acceleration, lateral velocity, lateral acceleration, and normal contact force were all recorded through lateral motion on physical templates with different roughness. Next, the neural network algorithm was applied to find the non-linear relationship between vertical acceleration and the other factors mentioned above. Then, piezoelectric actuator was used to reproduce roughness stimuli. Finally, according to the properties of human’s glabrous mechanoreceptor on fingers, the representation methods was designed for bring the continual tactile perception to user. Moreover, the tactile sensation experiment was conducted for two purposes, comparing both roughness rating and realistic rating between physical templates and the stimuli we designed. The results shows that our tactile feedback system can be regarded as a solid surface texture reproducing approach ( r^2>0.9 ). Furthermore, the modulation representation method had been perceived as the most realistic to physical continual lateral stroking. Nevertheless, the tactual retaliation effect had been observed through the interfering on tactile communication, and the levels of roughness might be another factor to this effect. In summary, this study not only contributes to reproducing realistic roughness and continual lateral stroking perceptions, but also demonstrates the possibility of realizing virtual objects with realistic surface texture. This technology can easily be applied to augmented reality (AR) and remote haptic feedback systems. Hopefully, in the very next future, this research would be the milestone of bridging the virtual environments and the real physical world. | en |
dc.description.provenance | Made available in DSpace on 2021-07-11T14:39:39Z (GMT). No. of bitstreams: 1 ntu-106-R04522611-1.pdf: 4418204 bytes, checksum: 50719575d194e60b589455342e2199d6 (MD5) Previous issue date: 2017 | en |
dc.description.tableofcontents | 口試委員會審定書 #
Acknowledgement i Abstract ii List of Tables vi List of Figures vii Chapter 1 Introduction 1 1.1 Research background 1 1.2 Research motivation 2 1.3 Research aim 3 Chapter 2 Literature review 4 2.1 Haptic feedback devices 4 2.1.1 Kinesthetic haptic feedback device 4 2.1.2 Tactile haptic feedback devices 10 2.1.3 Summary of haptic feedback devices 14 2.2 Tactile sensory sensitivity in the human glabrous skin 15 2.3 Vibrotactile and tactual perception 18 2.4 Literature review summary 23 Chapter 3 Methodology 25 Chapter 4 Haptic feedback VR system 28 4.1 Wearable haptic feedback glove 28 4.1.1 Glove design 29 4.1.2 Circuit design 33 4.1.3 Tactile feedback actuator 39 4.2 Human computer interface 41 4.2.1 Virtual reality environment 41 4.2.2 Tracking and interaction method 43 Chapter 5 Texture presentation system 46 5.1 Recording texture data 48 5.2 Processing texture data 53 5.3 Reproducing texture 64 Chapter 6 Tactile sensation experiment 69 6.1 Roughness discriminability experiment setup 69 6.2 Virtual continual lateral stroking experiment setup 72 6.3 Experiment design and procedure 77 6.3.1 Roughness discriminability experiment 77 6.3.2 Virtual continual lateral stroking experiment 80 Chapter 7 Results 81 7.1 Roughness discriminability experiment 81 7.1.1 Result of physical roughness discriminability experiment 81 7.1.2 Result of virtual roughness discriminability experiment 84 7.1.3 Comparison of the virtual buttons and the real templates 87 7.2 Virtual continual lateral stroking experiment 89 7.2.1 Result of realistic rating for template 1 (2 mm) 89 7.2.2 Result of realistic rating for template 2 (3 mm) 91 7.2.3 Result of realistic rating for template 3 (4 mm) 93 7.2.4 Summary of virtual continual lateral stroking experiment 95 Chapter 8 Conclusions and future work 97 8.1 Conclusions 97 8.2 Future work 98 Chapter 9 Reference 100 Appendix I 104 | |
dc.language.iso | zh-TW | |
dc.title | 重現表面粗糙度與連續橫向觸摸感受之擬真觸覺回饋手套 | zh_TW |
dc.title | A Realistic Tactile Feedback Glove for Reproducing
Surface Roughness and Continual Lateral Stroking Perceptions | en |
dc.type | Thesis | |
dc.date.schoolyear | 105-1 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 詹魁元,蘇偉 | |
dc.subject.keyword | 觸覺回饋,穿帶是力回饋裝置: 表面紋理重現,橫向觸摸移動,虛擬實境,類神經網路,觸覺感知實驗, | zh_TW |
dc.subject.keyword | Tactile Feedback,Wearable Haptics Feedback glove,Surface Texture Reproducing,Lateral Stroking Movement,Virtual Reality,Neural Network,Tactile Sensation Experiment., | en |
dc.relation.page | 106 | |
dc.identifier.doi | 10.6342/NTU201700387 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2017-02-08 | |
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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