Electroencephalogram and Electrocardiogram in Human-Computer Interaction

Abstract

Electroencephalogram (EEG) and Electrocardiogram (ECG) have been widely used in clinical diagnosis and have shown their potential in Human-Computer Interaction (HCI). EEG and ECG contain signals that can directly reveal people's activity neurologically and decode and transfer for further physical monitoring and external control. This paper firstly summarizes heavily used methods of EEG signal process in HCI, which also applies to the ECG process. Then, we reviewed typical applications for EEG in HCI, including the TTD system, P300, and Graz for brain-computer interface and emotion recognition. We conclude ECG classification and acquisition methods and ECG application in HCI, including biometric identification, game input, and medical nursing. Finally, integrating EEG and ECG, there are HCI applications like accurate emotion recognition, physiological monitoring, disease diagnosis, and portable wearable device. In addition, we present the HCI application for Electromyogram (EMG) in gesture, handwriting recognition, and Electrooculogram (EOG) in password security, cursor system, and eye-writing.