Publication: The design of cognitive training games for the thai elderly
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Issued Date
2021
Resource Type
Language
eng
File Type
application/pdf
ISSN
16859545
Other identifier(s)
2-s2.0-85120813805
Rights Holder(s)
Scopus
Bibliographic Citation
ECTI Transactions on Electrical Engineering, Electronics, and Communications. Vol 19, No.3 (2021), p.289-297
Suggested Citation
Tantisatirapong S., Puttapirat P., Senavongse W., Chanwimalueang T. The design of cognitive training games for the thai elderly. ECTI Transactions on Electrical Engineering, Electronics, and Communications. Vol 19, No.3 (2021), p.289-297. doi:10.37936/ECTI-EEC.2021193.244939 Retrieved from: https://hdl.handle.net/20.500.14740/8153
Abstract
Cognitive aging is one of the main public health concerns, often involving a decline in memory and decision-making abilities as people age. Cognitive training games have been widely employed to improve working memory as well as enhancing short and long-term memory. In this study, we aim to develop a cognitive training game based on speech recognition technology under a Thai setting based user interface. The designed cognitive training tasks were conducted by performing electroencephalography (EEG) on six elderly volunteers, who passed the Thai mental state examination. The participants were instructed to memorize a series of pictures and calculate simple math questions. The EEG signals of the participants were recorded and analyzed during training. The participants engaged in four cognitive training tasks with three trials. An increase in training scores was found to be related to a rise in three EEG power spectrum bands: theta, alpha, and beta. Participants expressed the highest average level of satisfaction towards the easiest tasks in the four cognitive training games. This implies that when performing an easy task, an increase in the power spectral density of three EEG bands tends to evidently occur. As a result, the proposed cognitive training game could leverage the working memory of the Thai elderly. The game design can be enhanced by integrating human-based interactive tasks, such as handwriting and eye movements. Its replication on a larger scale should be assessed in the future work. © 2021 Author(s).