Paper
28 July 2023 We can pass through the wall gap: aperture passage perception via vibration stimuli generated from distance variation
Shinichiro Morita, Yuki Kikuchi, Akira Saeki, Itta Endo, Harumi Kobayashi, Naoki Mukawa, Akio Nakamura
Author Affiliations +
Proceedings Volume 12749, Sixteenth International Conference on Quality Control by Artificial Vision; 127490U (2023) https://doi.org/10.1117/12.2692384
Event: Sixteenth International Conference on Quality Control by Artificial Vision, 2023, Albi, France
Abstract
We have been developing a helmet-type spatial perception support system that provides the user with vibration stimuli in response to the distance variation to an obstacle. The purpose of this research is set to propose a method for generating vibration stimuli that appropriately represent two environmental elements, walls and apertures, and verify its effectiveness for the aperture passage perception. The five vibro-motors are positioned at directional angles of 0 degree in front, 30 and 60 degrees to left and right, and generate vibration stimuli of an intensity calculated by assigning appropriate damping weights. We set the distance-dependent damping weights separately for each directional angle in the calculation of the vibration intensity to be generated for each motor. Experimental results demonstrate that the subjects were able to pass through the aperture in approximately 91 % of trials. This suggests that the developed system and the proposed vibration stimuli generation method are effective in perceiving space from the vibration stimuli provided to the head.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shinichiro Morita, Yuki Kikuchi, Akira Saeki, Itta Endo, Harumi Kobayashi, Naoki Mukawa, and Akio Nakamura "We can pass through the wall gap: aperture passage perception via vibration stimuli generated from distance variation", Proc. SPIE 12749, Sixteenth International Conference on Quality Control by Artificial Vision, 127490U (28 July 2023); https://doi.org/10.1117/12.2692384
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KEYWORDS
Vibration

Head

Sensors

Distance measurement

Optical flow

Visualization

Wearable devices

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