A Python-based Brain-Computer Interface Application for Controlling An Intelligent House by Using Emotiv Insight EEG Headset and Arduino Mega Development Board

This paper aims to design, explore and experiment with a new application of the brain-computer interface research field. By implementing a Python-based programming solution to acquire and analyze WebSocket's based EEG data from the portable Emotiv Insight headset, this scientific work highlights the opportunity to count the multiple eye blinks and use them for controlling an intelligent Arduino-based house prototype. Also, the wireless communication between the Python application and the Arduino program is enabled by WebSocket's protocol. The proposed brain-computer interface could improve the modalities of interaction with the surroundings as well as increase the independence and sense of usefulness for people with neuromotor disabilities. The encountered challenges focused mainly on handling the programming issues related to firstly synchronizing all the levels (Emotiv server, Python, and Arduino) and secondly avoiding the debouncing effect when counting the eye-blinks. Moreover, there were emphasized the advantages and disadvantages of creating a brain-computer interface by involving the hardware (EEG headsets) and software functionalities offered by Emotiv company.