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Published in:
2023 | OriginalPaper | Chapter
Recovery System of Work Performance by Using Indoor Environmental Changes Based on EEG-Movement Feature Space
Authors : Hinata Serizawa, Yoshihisa Fukuhara
Published in: Proceedings of Seventh International Congress on Information and Communication Technology
Publisher: Springer Nature Singapore
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Abstract
In this paper, we have realized a system to maintain good work performance by conducting the following three experiments. (1) Created a machine learning model with EEG as the objective variable and motion information as the explanatory variable. After that, we established a method for estimating the level of concentration based on movement information. (2) When work performance deteriorates, we intentionally change the indoor environment to verify whether it is effective as a method to recover work performance. (3) While estimating work performance using the model created in No. 1, verify whether work performance recovered from the estimated value by using the changes in the indoor environment verified in No. 2.