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On the Use of the EMOTIV Cortex API to Control a Robotic Arm Using Raw EEG Signals Acquired from the EMOTIV Insight NeuroHeadset

Abstract:

This paper explores the feasibility of using the Emotiv Cortex Application Programming Interface (API) service to obtain raw sensor signals from the Emotiv Insight NeuroHeadset for the control of a robotic arm. A data acquisition software based on Python was developed to use the service through data streaming in a Websocket. Raw EEG and motion sensor signals from the headset were processed for event detection. Detected events were then used to trigger control signals to a robotic arm controlled by a Raspberry Pi 3 using the IoT MQTT protocol. The results obtained indicate that the proposed approach and the algorithms developed were adequate translated into valid commands for effective development of a Head-Computer Interface that enables complete interaction with a robotic arm.