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題名 ELAXO:呈現多樣化手指抓握與旋轉之阻力回饋
ELAXO: Rendering Versatile Resistive Force Feedback for Fingers Grasping and Twisting
作者 張仲毅
Zhang, Zhong-Yi
貢獻者 蔡欣叡<br>陶亞倫
Tsai, Hsin-Ruey<br>Tao, Ya-Lun
張仲毅
Zhang, Zhong-Yi
關鍵詞 觸覺回饋
形狀渲染
阻力回饋
可穿戴設備
虛擬現實
Haptic feedback
Shape rendering
Resistive force feedback
Wearable device
Virtual reality
日期 2022
上傳時間 5-Oct-2022 09:26:49 (UTC+8)
摘要 觸覺回饋不僅增強了虛擬現實的沉浸感,還提供了專家在VR培訓中的觸覺提示,例如在VR工廠培訓中施多少力可以正確卡緊卡榫或鎖緊螺絲,這些回饋可以提高培訓效果表現。除了這些應用,VR環境中還存在著各種複雜的操作。儘管先前的研究已經實現了虛擬物體的形狀、彈性、按壓或抓握阻力的觸覺回饋,可是對於可穿戴設備的觸覺回饋裝置,很少討論或探索扭轉或轉動虛擬物體時的旋轉阻力。因此,我們提出了一種可穿戴設備ELAXO,將連續阻力和連續旋轉阻力相結合,分別在抓握和扭轉的應用中提供有彈性和沒有彈性的阻力。ELAXO是一種帶有指環、馬達煞車和彈力帶的外骨骼穿戴式裝置。馬達煞車實現了形狀模擬,並在阻力的有回彈力模式和無回彈力模式之間切換。可分離和可旋轉的指環和彈力帶在抓握和扭轉過程中提供連續的阻力。我們進行了一項Just-Noticeable Difference Study研究,以分別了解用戶在四種條件下對於阻力的可區分性,四個模式包含阻力和旋轉阻力,與分別有回彈力和無回彈力。然後進行了一項 VR體驗研究,以驗證 ELAXO 的多功能阻力回饋增強了 VR 體驗。
Haptic feedback not only enhances immersion in virtual reality (VR) but also delivers experts’ haptic sensation tips in VR training, e.g., properly clamping a tenon and mortise joint or tightening a screw in the assembly of VR factory training, which could even im-prove the training performance. However, various and complicated manipulation is in different scenarios. Although haptic feedback of virtual objects’ shape, stiffness or resistive force in pressing or grasping is achieved by previous research, rotational resistive force when twisting or turning virtual objects is seldom discussed or explored, especially for a wearable device. Therefore, we propose a wearable device, ELAXO, to integrate continuous resistive force and continuous rotational resistive force with or without resilience in grasping and twisting, respectively. ELAXO is an exoskeleton with rings, mechanical brakes and elastic bands. The brakes achieve shape rendering and switch between with and without resilience modes for the resistive force. The detachable and rotatable rings and elastic bands render continuous resistive force in grasping and twisting. We conducted a just noticeable difference (JND) study to understand users’ distinguishability in the four conditions, resistive force and rotational resistive force with and without resilience, separately. A VR study was then performed to verify that the versatile resistive force feedback from ELAXO enhances the VR experiences.
參考文獻 [1] Alexander Achberger, Fabian Aust, Daniel Pohlandt, Kresimir Vidackovic, and Michael Sedlmair. 2021. STRIVE: String-Based Force Feedback for Automotive Engineering. In The 34th Annual ACM Symposium on User Interface Software and Technology (Virtual Event, USA) (UIST ’21). Association for Computing Machinery, New York, NY, USA, 841–853. https://doi.org/10.1145/3472749.3474790
[2] Merwan Achibet, Adrien Girard, Anthony Talvas, Maud Marchal, and Anatole Lécuyer. 2015. Elastic-Arm: Human-scale passive haptic feedback for augmenting interaction and perception in virtual environments. In 2015 IEEE Virtual Reality (VR). IEEE, 63–68.
[3] Merwan Achibet, Benoît Le Gouis, Maud Marchal, Pierre-Alexandre Leziart, Ferran Argelaguet, Adrien Girard, Anatole Lécuyer, and Hiroyuki Kajimoto. 2017. FlexiFingers: Multi-finger interaction in VR combining passive haptics and pseudo-haptics. In 2017 IEEE Symposium on 3D User Interfaces (3DUI). IEEE, 103–106.
[4] Hrvoje Benko, Christian Holz, Mike Sinclair, and Eyal Ofek. 2016. NormalTouch and TextureTouch: High-Fidelity 3D Haptic Shape Rendering on Handheld Virtual Reality Controllers. In Proceedings of the 29th Annual Symposium on User Interface Software and Technology (Tokyo, Japan) (UIST ’16). Association for Computing Machinery, New York, NY, USA, 717–728. https://doi.org/10.1145/2984511.2984526
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[7] Inrak Choi, Eyal Ofek, Hrvoje Benko, Mike Sinclair, and Christian Holz. 2018. CLAW: A Multifunctional Handheld Haptic Controller for Grasping, Touching, and Triggering in Virtual Reality. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (Montreal QC, Canada) (CHI ’18). Association for Computing Machinery, New York, NY, USA, 1–13. https://doi.org/10.1145/3173574.3174228
[8] Cathy Fang, Yang Zhang, Matthew Dworman, and Chris Harrison. 2020. Wireality: Enabling Complex Tangible Geometries in Virtual Reality with Worn Multi-String Haptics. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI ’20). Association for Computing Machinery, New York, NY, USA, 1–10. https://doi.org/10.1145/3313831.3376470
[9] Sean Follmer, Daniel Leithinger, Alex Olwal, Akimitsu Hogge, and Hiroshi Ishii. 2013. InFORM: Dynamic Physical Affordances and Constraints through Shape and Object Actuation. In Proceedings of the 26th Annual ACM Symposium on User Interface Software and Technology (St. Andrews, Scotland, United Kingdom) (UIST ’13). Association for Computing Machinery, New York, NY, USA, 417–426. https://doi.org/10.1145/2501988.2502032
[10] Massimiliano Gabardi, Massimiliano Solazzi, Daniele Leonardis, and Antonio Frisoli. 2016. A new wearable fingertip haptic interface for the rendering of virtual shapes and surface features. In 2016 IEEE Haptics Symposium (HAPTICS). IEEE, 140–146.
[11] Xiaochi Gu, Yifei Zhang, Weize Sun, Yuanzhe Bian, Dao Zhou, and Per Ola Kristensson. 2016. Dexmo: An Inexpensive and Lightweight Mechanical Exoskeleton for Motion Capture and Force Feedback in VR. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (San Jose, California, USA) (CHI ’16). Association for Computing Machinery, New York, NY, USA, 1991–1995. https://doi.org/10.1145/2858036.2858487
[12] Teng Han, Qian Han, Michelle Annett, Fraser Anderson, Da-Yuan Huang, and Xing-Dong Yang. 2017. Frictio: Passive Kinesthetic Force Feedback for Smart Ring Output. In Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology (Québec City, QC, Canada) (UIST ’17). Association for Computing Machinery, New York, NY, USA, 131–142. https://doi.org/10.1145/3126594.3126622
[13] Seongkook Heo, Christina Chung, Geehyuk Lee, and Daniel Wigdor. 2018. Thor’s Hammer: An Ungrounded Force Feedback Device Utilizing Propeller-Induced Propulsive Force. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (Montreal QC, Canada) (CHI ’18). Association for Computing Machinery, New York, NY, USA, 1–11. https://doi.org/10.1145/3173574.3174099
[14] Seongkook Heo, Jaeyeon Lee, and Daniel Wigdor. 2019. PseudoBend: Producing Haptic Illusions of Stretching, Bending, and Twisting Using Grain Vibrations. In Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology (New Orleans, LA, USA) (UIST ’19). Association for Computing Machinery, New York, NY, USA, 803–813. https://doi.org/10.1145/3332165.3347941
[15] Ronan Hinchet, Velko Vechev, Herbert Shea, and Otmar Hilliges. 2018. DextrES: Wearable Haptic Feedback for Grasping in VR via a Thin Form-Factor Electrostatic Brake. In Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology (Berlin, Germany) (UIST ’18). Association for Computing Machinery, New York, NY, USA, 901–912. https://doi.org/10.1145/3242587.3242657
[16] Seungwoo Je, Myung Jin Kim, Woojin Lee, Byungjoo Lee, Xing-Dong Yang, Pedro Lopes, and Andrea Bianchi. 2019. Aero-plane: A Handheld Force-Feedback Device that Renders Weight Motion Illusion on a Virtual 2D Plane. In Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology. 763–775.
[17] Seungwoo Je, Hyunseung Lim, Kongpyung Moon, Shan-Yuan Teng, Jas Brooks, Pedro Lopes, and Andrea Bianchi. 2021. Elevate: A Walkable Pin-Array for Large Shape-Changing Terrains. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (Yokohama, Japan)(CHI ’21). Association for Computing Machinery, New York, NY, USA, Article 127, 11 pages. https://doi.org/10.1145/3411764.3445454
[18] Chi-Jung Lee, Hsin-Ruey Tsai, and Bing-Yu Chen. 2021. HairTouch: Providing Stiffness, Roughness and Surface Height Differences Using Reconfigurable Brush Hairs on a VR Controller. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. 1–13.
[19] Jaeyeon Lee, Mike Sinclair, Mar Gonzalez-Franco, Eyal Ofek, and Christian Holz. 2019. TORC: A Virtual Reality Controller for In-Hand High-Dexterity Finger Interaction. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow, Scotland Uk) (CHI ’19). Association for Computing Machinery, New York, NY, USA, 1–13. https://doi.org/10.1145/3290605.3300301
[20] Pedro Lopes, Sijing You, Lung-Pan Cheng, Sebastian Marwecki, and Patrick Baudisch. 2017. Providing Haptics to Walls & Heavy Objects in Virtual Reality by Means of Electrical Muscle Stimulation. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (Denver, Colorado, USA) (CHI ’17). Association for Computing Machinery, New York, NY, USA, 1471–1482. https://doi.org/10.1145/3025453.3025600
[21] Ken Nakagaki, Artem Dementyev, Sean Follmer, Joseph A. Paradiso, and Hiroshi Ishii. 2016. ChainFORM: A Linear Integrated Modular Hardware System for Shape Changing Interfaces. In Proceedings of the 29th Annual Symposium on User Interface Software and Technology (Tokyo, Japan) (UIST ’16). Association for Computing Machinery, New York, NY, USA, 87–96. https://doi.org/10.1145/2984511.2984587
[22] Ken Nakagaki, Daniel Fitzgerald, Zhiyao (John) Ma, Luke Vink, Daniel Levine, and Hiroshi Ishii. 2019. InFORCE: Bi-Directional ‘Force’ Shape Display for Haptic Interaction. In Proceedings of the Thirteenth International Conference on Tangible, Embedded, and Embodied Interaction (Tempe, Arizona, USA) (TEI ’19). Association for Computing Machinery, New York, NY, USA, 615–623. https://doi.org/10.1145/3294109.3295621
[23] Ken Nakagaki, Sean Follmer, and Hiroshi Ishii. 2015. LineFORM: Actuated Curve Interfaces for Display, Interaction, and Constraint. In Proceedings of the 28th Annual ACM Symposium on User Interface Software and Technology (Charlotte, NC, USA) (UIST ’15). Association for Computing Machinery, New York, NY, USA, 333–339. https://doi.org/10.1145/2807442.2807452
[24] Romain Nith, Shan-Yuan Teng, Pengyu Li, Yujie Tao, and Pedro Lopes. 2021. DextrEMS: Increasing Dexterity in Electrical Muscle Stimulation by Combining It with Brakes. Association for Computing Machinery, New York, NY, USA, 414–430. https://doi.org/10.1145/3472749.3474759
[25] Domenico Prattichizzo, Francesco Chinello, Claudio Pacchierotti, and Monica Malvezzi. 2013. Towards wearability in fingertip haptics: a 3-dof wearable device for cutaneous force feedback. IEEE Transactions on Haptics 6, 4 (2013), 506–516.
[26] Neung Ryu, Hye-Young Jo, Michel Pahud, Mike Sinclair, and Andrea Bianchi. 2021. GamesBond: Bimanual Haptic Illusion of Physically Connected Objects for Immersive VR Using Grip Deformation. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (Yokohama, Japan) (CHI ’21). Association for Computing Machinery, New York, NY, USA, Article 125, 10 pages. https://doi.org/10.1145/3411764.3445727
[27] Samuel B. Schorr and Allison M. Okamura. 2017. Fingertip Tactile Devices for Virtual Object Manipulation and Exploration. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (Denver, Colorado, USA) (CHI ’17). Association for Computing Machinery, New York, NY, USA, 3115–3119. https://doi.org/10.1145/3025453.3025744
[28] Mike Sinclair, Eyal Ofek, Mar Gonzalez-Franco, and Christian Holz. 2019. CapstanCrunch: A Haptic VR Controller with User-Supplied Force Feedback. In Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology (New Orleans, LA, USA) (UIST ’19). Association for Computing Machinery, New York, NY, USA, 815–829. https://doi.org/10.1145/3332165.3347891
[29] Alexa F. Siu, Eric J. Gonzalez, Shenli Yuan, Jason B. Ginsberg, and Sean Follmer. 2018. ShapeShift: 2D Spatial Manipulation and Self-Actuation of Tabletop Shape Displays for Tangible and Haptic Interaction. Association for Computing Machinery, New York, NY, USA, 1–13. https://doi.org/10. 1145/3173574.3173865
[30] Bukun Son and Jaeyoung Park. 2018. Haptic Feedback to the Palm and Fingers for Improved Tactile Perception of Large Objects. In Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology (Berlin, Germany) (UIST ’18). Association for Computing Machinery, New York, NY, USA, 757–763. https://doi.org/10.1145/3242587.3242656
[31] Evan Strasnick, Christian Holz, Eyal Ofek, Mike Sinclair, and Hrvoje Benko. 2018. Haptic Links: Bimanual Haptics for Virtual Reality Using Variable Stiffness Actuation. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (Montreal QC, Canada) (CHI ’18). Association for Computing Machinery, New York, NY, USA, 1–12. https://doi.org/10.1145/3173574.3174218
[32] Yuqian Sun, Shigeo Yoshida, Takuji Narumi, and Michitaka Hirose. 2019. PaCaPa: A Handheld VR Device for Rendering Size, Shape, and Stiffness of Virtual Objects in Tool-Based Interactions. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow, Scotland Uk)(CHI ’19). Association for Computing Machinery, New York, NY, USA, 1–12. https://doi.org/10.1145/3290605.3300682
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描述 碩士
國立政治大學
數位內容碩士學位學程
109462016
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0109462016
資料類型 thesis
dc.contributor.advisor 蔡欣叡<br>陶亞倫zh_TW
dc.contributor.advisor Tsai, Hsin-Ruey<br>Tao, Ya-Lunen_US
dc.contributor.author (Authors) 張仲毅zh_TW
dc.contributor.author (Authors) Zhang, Zhong-Yien_US
dc.creator (作者) 張仲毅zh_TW
dc.creator (作者) Zhang, Zhong-Yien_US
dc.date (日期) 2022en_US
dc.date.accessioned 5-Oct-2022 09:26:49 (UTC+8)-
dc.date.available 5-Oct-2022 09:26:49 (UTC+8)-
dc.date.issued (上傳時間) 5-Oct-2022 09:26:49 (UTC+8)-
dc.identifier (Other Identifiers) G0109462016en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/142172-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 數位內容碩士學位學程zh_TW
dc.description (描述) 109462016zh_TW
dc.description.abstract (摘要) 觸覺回饋不僅增強了虛擬現實的沉浸感,還提供了專家在VR培訓中的觸覺提示,例如在VR工廠培訓中施多少力可以正確卡緊卡榫或鎖緊螺絲,這些回饋可以提高培訓效果表現。除了這些應用,VR環境中還存在著各種複雜的操作。儘管先前的研究已經實現了虛擬物體的形狀、彈性、按壓或抓握阻力的觸覺回饋,可是對於可穿戴設備的觸覺回饋裝置,很少討論或探索扭轉或轉動虛擬物體時的旋轉阻力。因此,我們提出了一種可穿戴設備ELAXO,將連續阻力和連續旋轉阻力相結合,分別在抓握和扭轉的應用中提供有彈性和沒有彈性的阻力。ELAXO是一種帶有指環、馬達煞車和彈力帶的外骨骼穿戴式裝置。馬達煞車實現了形狀模擬,並在阻力的有回彈力模式和無回彈力模式之間切換。可分離和可旋轉的指環和彈力帶在抓握和扭轉過程中提供連續的阻力。我們進行了一項Just-Noticeable Difference Study研究,以分別了解用戶在四種條件下對於阻力的可區分性,四個模式包含阻力和旋轉阻力,與分別有回彈力和無回彈力。然後進行了一項 VR體驗研究,以驗證 ELAXO 的多功能阻力回饋增強了 VR 體驗。zh_TW
dc.description.abstract (摘要) Haptic feedback not only enhances immersion in virtual reality (VR) but also delivers experts’ haptic sensation tips in VR training, e.g., properly clamping a tenon and mortise joint or tightening a screw in the assembly of VR factory training, which could even im-prove the training performance. However, various and complicated manipulation is in different scenarios. Although haptic feedback of virtual objects’ shape, stiffness or resistive force in pressing or grasping is achieved by previous research, rotational resistive force when twisting or turning virtual objects is seldom discussed or explored, especially for a wearable device. Therefore, we propose a wearable device, ELAXO, to integrate continuous resistive force and continuous rotational resistive force with or without resilience in grasping and twisting, respectively. ELAXO is an exoskeleton with rings, mechanical brakes and elastic bands. The brakes achieve shape rendering and switch between with and without resilience modes for the resistive force. The detachable and rotatable rings and elastic bands render continuous resistive force in grasping and twisting. We conducted a just noticeable difference (JND) study to understand users’ distinguishability in the four conditions, resistive force and rotational resistive force with and without resilience, separately. A VR study was then performed to verify that the versatile resistive force feedback from ELAXO enhances the VR experiences.en_US
dc.description.tableofcontents CHAPTER1.Introduction .p1
CHAPTER2.Related Work .p5
2.1.Haptic Shape Rendering .p5
2.2.Resistive Force Feedback .p6
2.3.Rotational Resistive Force Feedback .p8
CHAPTER3.FingerX .p10
3.1.Design Considerations .p11
3.2.Hardware Implementation .p12
3.3.Software Control Flow .p20
3.4.Resisitve Force Measurement .p23
CHAPTER4.JUST NOTICEABLE DIFFERENCE STUDY .p26
4.1.Participants and Apparatus .p28
4.2.Task and Procedure .p28
4.3.Results and Discussion .p30
CHAPTER5.VR EXPERIENCE STUDY .p33
5.1.Participants and Apparatus .p35
5.2.Task and Procedure .p36
5.3.Results and Discussion .p38
CHAPTER6.LIMITATIONS AND FUTURE WORK .p42
CHAPTER7.CONCLUSION .p45
REFERENCES .p47
zh_TW
dc.format.extent 24625653 bytes-
dc.format.mimetype application/pdf-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0109462016en_US
dc.subject (關鍵詞) 觸覺回饋zh_TW
dc.subject (關鍵詞) 形狀渲染zh_TW
dc.subject (關鍵詞) 阻力回饋zh_TW
dc.subject (關鍵詞) 可穿戴設備zh_TW
dc.subject (關鍵詞) 虛擬現實zh_TW
dc.subject (關鍵詞) Haptic feedbacken_US
dc.subject (關鍵詞) Shape renderingen_US
dc.subject (關鍵詞) Resistive force feedbacken_US
dc.subject (關鍵詞) Wearable deviceen_US
dc.subject (關鍵詞) Virtual realityen_US
dc.title (題名) ELAXO:呈現多樣化手指抓握與旋轉之阻力回饋zh_TW
dc.title (題名) ELAXO: Rendering Versatile Resistive Force Feedback for Fingers Grasping and Twistingen_US
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) [1] Alexander Achberger, Fabian Aust, Daniel Pohlandt, Kresimir Vidackovic, and Michael Sedlmair. 2021. STRIVE: String-Based Force Feedback for Automotive Engineering. In The 34th Annual ACM Symposium on User Interface Software and Technology (Virtual Event, USA) (UIST ’21). Association for Computing Machinery, New York, NY, USA, 841–853. https://doi.org/10.1145/3472749.3474790
[2] Merwan Achibet, Adrien Girard, Anthony Talvas, Maud Marchal, and Anatole Lécuyer. 2015. Elastic-Arm: Human-scale passive haptic feedback for augmenting interaction and perception in virtual environments. In 2015 IEEE Virtual Reality (VR). IEEE, 63–68.
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dc.identifier.doi (DOI) 10.6814/NCCU202201579en_US