TY - GEN
T1 - Threshold Adjustment of Beta-Alpha Ratio of EEG Signal for Generation of Visual Effects in a VR Live Concert
AU - Munoz-Gonzalez, Angel
AU - Horie, Ryota
N1 - Funding Information:
This work was supported by JSPS KAKENHI Grant Number JP 19K12222.
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - We have developed a Brain-Computer Interface (BCI) experience combining electroencephalogram (EEG) signals with Virtual Reality (VR). In our proposal, the users can attend a VR live concert system while participating in it throughout the generation of visual effects (VE) based on their brain activity. The VE are generated according to the beta and alpha waves of the EEG signal. When the beta-alpha ratio exceeds specific values, a threshold triggers the generation of different VE. A comparison between fixed threshold values and personalized thresholds for each subject is conducted. When conducting VR lives, individual differences on the beta-alpha ratio sometimes prevent the generation of VE based on constant thresholds, causing bigger differences on the experience between users. Thus, towards conducting VR live concert with many users, automatic adjustment of the thresholds for compensating the individual differences is required. In this paper, we proposed a method for adjusting thresholds based on percentiles of the distribution of beta-alpha ratio values and implemented it to our VR live system. We show results of experiments for validating the proposed methods.
AB - We have developed a Brain-Computer Interface (BCI) experience combining electroencephalogram (EEG) signals with Virtual Reality (VR). In our proposal, the users can attend a VR live concert system while participating in it throughout the generation of visual effects (VE) based on their brain activity. The VE are generated according to the beta and alpha waves of the EEG signal. When the beta-alpha ratio exceeds specific values, a threshold triggers the generation of different VE. A comparison between fixed threshold values and personalized thresholds for each subject is conducted. When conducting VR lives, individual differences on the beta-alpha ratio sometimes prevent the generation of VE based on constant thresholds, causing bigger differences on the experience between users. Thus, towards conducting VR live concert with many users, automatic adjustment of the thresholds for compensating the individual differences is required. In this paper, we proposed a method for adjusting thresholds based on percentiles of the distribution of beta-alpha ratio values and implemented it to our VR live system. We show results of experiments for validating the proposed methods.
KW - beta/alpha ratio
KW - Brain-computer interface
KW - electroencephalography
KW - live concert
KW - threshold
KW - virtual reality
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U2 - 10.1109/GCCE53005.2021.9621854
DO - 10.1109/GCCE53005.2021.9621854
M3 - Conference contribution
AN - SCOPUS:85123493809
T3 - 2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021
SP - 174
EP - 175
BT - 2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th IEEE Global Conference on Consumer Electronics, GCCE 2021
Y2 - 12 October 2021 through 15 October 2021
ER -