2011
DOI: 10.1109/tim.2010.2065690
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Segmentation of Bimanual Virtual Object Manipulation Tasks Using Multifinger Haptic Interfaces

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Cited by 26 publications
(20 citation statements)
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“…Previous works have identified the necessity and superiority of MPHs over SPHs. This includes enhanced operational experience to existing applications and innovative operational modalities to more challenging applications [5]- [7].…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Previous works have identified the necessity and superiority of MPHs over SPHs. This includes enhanced operational experience to existing applications and innovative operational modalities to more challenging applications [5]- [7].…”
Section: Related Workmentioning
confidence: 99%
“…In [21], the authors proposed MasterFinger, a customized multifinger, bimanual MPH based on the work described in [14] but focused more on the advances of intermanual interactions. Further details of the system were discussed in [5].…”
Section: Related Workmentioning
confidence: 99%
“…A technique was proposed to detect when a user attempts to grasp an object, based on a study on the segmentation of a grasping task with multi-finger interfaces [13]. The study distinguished three major steps with specific forces applied on the grasped object: approach (no force applied on the object), gripping (a horizontal force being applied), and lifting (a vertical component being added).…”
Section: Interaction Techniques For Bimanual Hapticsmentioning
confidence: 99%
“…Most simulations carried out so far focus on analyzing weight discrimination perception difference between grabbing virtual objects using one hand or two hands [8], cooperative tasks done by two users manipulating a common object [9] as shown in Fig.4., and study of trajectories and forces of usual grasping tasks [10]. Common haptic interfaces have been used for touching and interacting with virtual environments by applying forces at a single point.…”
Section: Example Of Two Hand Manipulationmentioning
confidence: 99%