2021 IEEE Virtual Reality and 3D User Interfaces (VR) 2021
DOI: 10.1109/vr50410.2021.00102
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Freehand Grasping: An Analysis of Grasping for Docking Tasks in Virtual Reality

Abstract: Figure 1: Virtual environment for grasp patterns elicitation study. Equant, Prolate, Oblate, Bladed virtual objects were randomly positioned on the table, each of the objects having a corresponding target object (highlighted in green). At the end of the docking task all objects had to be in the target position and rotation.

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Cited by 8 publications
(3 citation statements)
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“…Furthermore, users preferred the controller interaction, and the feedback of the controller was more comfortable. Dalia Blaga et al (2021) investigated the implementation of natural fetching in VR environments. They used a virtual hand model to map the real hand, allowing the participants to grab 16 different virtual objects during the task.…”
Section: D Interaction Methodsmentioning
confidence: 99%
“…Furthermore, users preferred the controller interaction, and the feedback of the controller was more comfortable. Dalia Blaga et al (2021) investigated the implementation of natural fetching in VR environments. They used a virtual hand model to map the real hand, allowing the participants to grab 16 different virtual objects during the task.…”
Section: D Interaction Methodsmentioning
confidence: 99%
“…For this, there is a need for complex physics-based simulations that infer object behavior from the position and properties of the individual fingers (Höll et al, 2018). As the contact points between fingers and surface change according to how the object moves within the hand, the adaption of the grasping pose must be determined dynamically, as previous work explored for freehand grasping (Dalia Blaga et al, 2021).…”
Section: Future Workmentioning
confidence: 99%
“…To avoid the limitation of controller-based methods, we incorporate tracking-based techniques to achieve more natural and realistic free-hand perception [26], allowing for natural interactions with virtual objects. Our system enhances the user experience by providing highlighting hand avatars upon contact.…”
Section: Hand-object Interactionmentioning
confidence: 99%