Generating Haptic Motion Effects for General Scenes to Improve 4D Experiences

Motion effects are vital for enhancing 4D experiences in various applications, e.g., rides, films, and games, by physically moving the user. Recent research introduced algorithms for generating effective motion effects from the audiovisual stream, but these approaches either require object motion trajectories or miss important scene components, such as other objects, particles, and camera motion. This paper proposes a fully automatic algorithm synthesizing motion effects from all scene components. Our method leverages computer vision technologies to capture salient movements among multiple components, enabling the creation of holistic motion effects without the need for human intervention. Then, our method computes a motion proxy representing the movements of the scene components by compressing the captured movements into a singlepoint motion. The motion proxy is converted into a motion command through a motion cueing algorithm and delivered to the user. The results of a user study show that our algorithm can generate compelling motion effects that enhance the 4D experience better than semi-manually authored effects. Our approach can facilitate the production of captivating motion effects for many applications.

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Publication Details

Published
2024-10-21
DOI
https://doi.org/10.1109/ismar62088.2024.00019
Citations
4
Primary Topic
Virtual Reality Applications and Impacts
Type
article
Field-Weighted Citation Impact
1.49

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article

Generating Haptic Motion Effects for General Scenes to Improve 4D Experiences

Sangyoon Han, Seungmoon Choi, Jaehyeok Ahn
4 citations
Virtual Reality Applications and Impacts
1.49
article

Generating Haptic Motion Effects for General Scenes to Improve 4D Experiences

Sangyoon Han, Seungmoon Choi, Jaehyeok Ahn
article en
4 citations

Abstract

Motion effects are vital for enhancing 4D experiences in various applications, e.g., rides, films, and games, by physically moving the user. Recent research introduced algorithms for generating effective motion effects from the audiovisual stream, but these approaches either require object motion trajectories or miss important scene components, such as other objects, particles, and camera motion. This paper proposes a fully automatic algorithm synthesizing motion effects from all scene components. Our method leverages computer vision technologies to capture salient movements among multiple components, enabling the creation of holistic motion effects without the need for human intervention. Then, our method computes a motion proxy representing the movements of the scene components by compressing the captured movements into a singlepoint motion. The motion proxy is converted into a motion command through a motion cueing algorithm and delivered to the user. The results of a user study show that our algorithm can generate compelling motion effects that enhance the 4D experience better than semi-manually authored effects. Our approach can facilitate the production of captivating motion effects for many applications.

Pohang University of Science and Technology (KR)
National Research Council, Samsung
Openalex Percentile: Top 16%
Virtual Reality Applications and Impacts
1.49
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