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Rendering of Walking Sensation for a Sitting User by Lower Limb Motion Display

Authors: Yamaoka, Kentaro; Koide, Ren; Amemiya, Tomohiro; Kitazaki, Michiteru; Yem, Vibol; Ikei, Yasushi;

Rendering of Walking Sensation for a Sitting User by Lower Limb Motion Display

Abstract

This paper describes the characteristics of presentation of a lower limb motion display designed to create a walking motion sensation for a sitting user. It has the function of lifting and translation independently applied to both legs to generate a walking sensation by moving the feet alternately as in the real walk. According to the results of the experiments, our system enables to render a walking sensation by drawing a trajectory with an amplitude of about 10% of the real walking. Although the backward amplitude was larger than the forward amplitude in real walking, our system created walking sensation to the sitting user better when the forward amplitude was larger than the backward amplitude having opposite characteristics to the real walking.

CCS Concepts: Human-centered computing → Human computer interaction(HCI) → Interaction paradigms → Virtual reality; Human-centered computing → Human computer interaction(HCI) → Interaction devices → Haptic devices

ICAT-EGVE 2019 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments

Kentaro Yamaoka, Ren Koide, Tomohiro Amemiya, Michiteru Kitazaki, Vibol Yem, and Yasushi Ikei

Perception and Human Augmentation

45

51

Keywords

centered computing → Human computer interaction(HCI) → Interaction devices → Haptic devices, Human, centered computing → Human computer interaction(HCI) → Interaction paradigms → Virtual reality

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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