Elodie Bouzbib, Stefan Donkov, Sonia Elizondo, Josu Irisarri, Mikel Aldea, Inigo Ezcurdia, Naroa Iriarte, Asier Marzo
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引用次数: 0
Abstract
Devices capable of stroking the user's forearm are being explored for digitally mediated touch but are mainly contact-based. We propose ElectroCaresses, the use of electrostatic piloerection to convey contactless gentle strokes by generating dynamic patterns of hair erection along the forearm. We investigated if a discrete set of electrodes can convey apparent motion (n=12), and evaluated effects of distance, duration and direction on continuity perception. We show that participants can discriminate stimuli direction with a high accuracy (93%) and perceive a continuous stroking stimulus using discrete signals. We finally propose guidelines for designing haptic illusions of motion using electrostatics-based haptics.
期刊介绍:
IEEE Transactions on Haptics (ToH) is a scholarly archival journal that addresses the science, technology, and applications associated with information acquisition and object manipulation through touch. Haptic interactions relevant to this journal include all aspects of manual exploration and manipulation of objects by humans, machines and interactions between the two, performed in real, virtual, teleoperated or networked environments. Research areas of relevance to this publication include, but are not limited to, the following topics: Human haptic and multi-sensory perception and action, Aspects of motor control that explicitly pertain to human haptics, Haptic interactions via passive or active tools and machines, Devices that sense, enable, or create haptic interactions locally or at a distance, Haptic rendering and its association with graphic and auditory rendering in virtual reality, Algorithms, controls, and dynamics of haptic devices, users, and interactions between the two, Human-machine performance and safety with haptic feedback, Haptics in the context of human-computer interactions, Systems and networks using haptic devices and interactions, including multi-modal feedback, Application of the above, for example in areas such as education, rehabilitation, medicine, computer-aided design, skills training, computer games, driver controls, simulation, and visualization.