DesktopGlove: A multi-finger force feedback interface separating degrees of freedom between hands

Achibet, Merwan; Casiez, Géry; Marchai, Maud

doi:10.1109/3dui.2016.7460024

Cited by 9 publications

(2 citation statements)

References 31 publications

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“…This prototype design was partially inspired by the ringshaped receptacles of DesktopGlove [1], HapRing [3] and the reciprocating cranks design. The design (Fig.…”

Section: ) Ring-based Sliding Surfacementioning

confidence: 99%

FingerSlide: Investigating Passive Haptic Sliding as a Tacton Channel

Karnik

Dembo

Alexander

et al. 2018

2018 IEEE International Symposium on Haptic, Audio and Visual Environments and Games (HAVE)

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The haptic sensation of sliding a surface under a probing finger can be used to convey surface information or coded data to the user. In this paper, we investigate users' ability to discern different sliding profiles based on the velocity and direction of sliding for use as haptic-tactons. We built FingerSlide, a novel haptic device which can position and control moving surfaces under a user's finger and used this to run two independent studies. The first study investigates if users can identify the direction of sliding at different velocities. The second study investigates if the users can distinguish a difference between two velocities. Our results show a faster response for higher velocities in the direction study and high error rates in identifying differences in the direction study. We discuss these results and infer design considerations for haptic devices that use the sliding effect to convey information.

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“…This prototype design was partially inspired by the ringshaped receptacles of DesktopGlove [1], HapRing [3] and the reciprocating cranks design. The design (Fig.…”

Section: ) Ring-based Sliding Surfacementioning

confidence: 99%

FingerSlide: Investigating Passive Haptic Sliding as a Tacton Channel

Karnik

Dembo

Alexander

et al. 2018

2018 IEEE International Symposium on Haptic, Audio and Visual Environments and Games (HAVE)

View full text Add to dashboard Cite

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“…The proposed interaction technique can be more reliably tracked by optical sensors than common collision-based interaction ways. Actually, the idea was also explored for application of multi-finger haptic interfaces [135], where the haptic feedbacks of one virtual hand were separated among fingers and whole palm and applied on two hands. Their successful user studies motivate research in this direction.…”

Section: Separating Dofs Of the Virtual Hand Among Two Handsmentioning

confidence: 99%

Mid-air hand interaction with optical tracking for 3D modelling

Cui¹

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Compared to common 2D interaction done with mouse and other 2D-tracking devices, 3D hand tracking with low-cost optical cameras can provide more degrees of freedom, as well as natural gestures when shape modeling and assembling are done in virtual spaces. However, though quite precise, the optical tracking devices cannot avoid problems intrinsic to hand interaction, such as hand tremor and jump release, and they also introduce an additional problem of occlusion. This thesis investigates whether interaction during 3D modeling can be improved by using optical sensors so that 3D tasks can be performed in a way similar to interaction in real life and as efficient as when using common 2D-tracking based interaction while still minimizing the intrinsic problems of precise hand manipulations and optical problems. After surveying the relevant works and analyzing technical capabilities of the commonly available optical sensors, two approaches are thoroughly investigated for the natural mid-air hand interaction in precise 3D modeling-they are collision-based and gesture-based interaction. For collision-based methods, a set of virtual interaction techniques is proposed to realistically simulate real-life manipulation and deformation with one and two hands. For gesture-based interaction, a core set of interaction techniques is also devised which allows natural real-life interaction ways to be used. In addition, algorithms are proposed for both collision-based and gesture-based interaction to enhance the precision while minimizing the problems of hand tremor and jump release. However, the results show that virtual interaction designed with collision-based methods is always slower than real-First of all, I would like to thank my supervisor Associate Professor Alexei Sourin for his invaluable instructions and guidance. I am grateful to him for his help throughout my time as a research student at Nanyang Technological University. I also thank Professor Arjan Kuijper for giving me valuable advice and guiding my research at TU Darmstadt. It is credit to their efforts and ideas that my research has reached this point. I also wish to express my gratitude to the School of Computer Science and Engineering and Nanyang Technological University for providing me the opportunity and financial support to further my study and research. Special thanks go to the Joint PhD Degree Programme NTU-TU Darmstadt and Fraunhofer Singapore for supporting my project. I wish to thank my parents for their support. I would like to thank my wife Jin Luying for her selfless concern and encouragement. Praises and thanks to the God, the Almighty, for His showers of blessings throughout my research work to complete the research successfully.

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