Abstract
Brain-Computer Interface (BCI for its acronym in English) is a device that allow the communication between a user and adapted environment. The Ambient Assisted Living (AAL for its acronym in English) can be potentially used to assist people with some motor disability. In this article, we show the low-cost system development that permit an actuator control through commercial EEG signal acquisition, detecting a flickering. The system is also tested to evaluate its feasibility with an offline analysis in Matlab. The experiments and results are shown.
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Acknowledgements
To CONACYT, for their support during the master degree process and research stay in Valencia, Spain. To “Persianas de los altos”, for their support with materials and Guanajuato’s government for giving us their support to complete this research.
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Meza, A., Baltazar, R., Casillas, M., Zamudio, V., Mosiño, F., Serna, B. (2020). System Development for Automatic Control Using BCI. In: Jezic, G., Chen-Burger, YH., Kusek, M., Šperka, R., Howlett, R., Jain, L. (eds) Agents and Multi-agent Systems: Technologies and Applications 2019. Smart Innovation, Systems and Technologies, vol 148. Springer, Singapore. https://doi.org/10.1007/978-981-13-8679-4_15
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