TY - JOUR
T1 - Determination of optimal levels of whole-body vibration using audio-visual information of multimodal content
AU - Abe, Shota
AU - Sakamoto, Shuichi
AU - Cui, Zhengile
AU - Suzuki, Yôiti
N1 - Funding Information:
Acknowledgment. Part of this work was supported by RIEC Nation-wide Cooperative Research Projects and JSPS KAKENHI Grant Numbers 19H04145.
Publisher Copyright:
© 2022, Taiwan Ubiquitous Information CO LTD. All rights reserved.
PY - 2022
Y1 - 2022
N2 - The effectiveness of adding whole-body vibration information to audio-visual content has been demonstrated. However, current content generally consists only of audio-visual information and does not include whole-body vibrations. Therefore, it is necessary to establish a method for generating effective vibration information. In our previous study, we showed that some characteristics related to the amplitude of the vibration have a greater impact on perceived reality of multimodal content than those related to the frequency of the vibration. Therefore, in this study, we focused on the amplitude of whole-body vibration and investigated the relationship between the optimal amplitude of whole-body vibration and audio-visual information provided by the content. The results suggest that a multiple regression model using acoustic features can explain the optimal vibration amplitude.
AB - The effectiveness of adding whole-body vibration information to audio-visual content has been demonstrated. However, current content generally consists only of audio-visual information and does not include whole-body vibrations. Therefore, it is necessary to establish a method for generating effective vibration information. In our previous study, we showed that some characteristics related to the amplitude of the vibration have a greater impact on perceived reality of multimodal content than those related to the frequency of the vibration. Therefore, in this study, we focused on the amplitude of whole-body vibration and investigated the relationship between the optimal amplitude of whole-body vibration and audio-visual information provided by the content. The results suggest that a multiple regression model using acoustic features can explain the optimal vibration amplitude.
KW - Acoustic features
KW - Multimodal information
KW - Synthesis of vibration
KW - Visual features
KW - Whole-body vibration
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M3 - Article
AN - SCOPUS:85143620813
SN - 2073-4212
VL - 13
SP - 226
EP - 238
JO - Journal of Information Hiding and Multimedia Signal Processing
JF - Journal of Information Hiding and Multimedia Signal Processing
IS - 3
ER -