Integrating Internet of Things and EEG in Controlling Fan Speed

ABSTRACT

The limitations of the assistive devices for amputees and the prevention of Covid-19 spread have risen the need for a device that can be controlled without using hands. The availability of the internet of things allows data to be transferred between devices without a physical connection. This paper describes the integration of the Internet of things (IoT) and electroencephalogram (EEG) in controlling fan speed via intention. The controlling process includes EEG signals acquisition in real-time, the intention detection from the signal, the transmission of the fan speed to the cloud and the retrieval of the stored data from the cloud to change the fan speed accordingly via Wi-fi. The system could detect the intention of increasing and decreasing the fan speed with an accuracy of 95% and 75% respectively. The accuracy of detecting the intention from EEG signals is affected by the frame length and electrode duration on the scalp, Wi-fi strength and wireless connection stability. With the utilization of IoT and EEG in the whole system, the fan could be controlled from far without using hands which is suitable for amputees and at the same time, the transmission of Covid-19 through hands could be reduced © 2020 Faculty of Mechanical Engineering, Universiti Teknologi MARA (UiTM), Malaysia