Enhancement of Movement Intention Detection Using EEG Signals Responsive to Emotional Music Stimulus

Recent psychological and neurological studies suggest that human motor preparation and execution are largely affected by the subjective emotional state. Thus, external emotion stimuli can be a potential tool to enhance the detectability of movement intention from pre-movement neural signals. This ar...

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Bibliographic Details
Published in:IEEE transactions on affective computing 2022-07, Vol.13 (3), p.1637-1650
Main Authors: Hasan, S M Shafiul, Siddiquee, Masudur R., Marquez, J. Sebastian, Bai, Ou
Format: Article
Language:English
Subjects:
Affective state
brain-computer interface
Brain-computer interfaces
Electric potential
Electroencephalography
emotion stimulus
Emotional factors
Emotions
event-related desynchronization
Filtering
Human motion
Human-computer interface
Motion perception
movement intention detection
Music
pseudo online testing
Psychology
Stimuli
Support vector machines
Testing
Wrist
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Summary:Recent psychological and neurological studies suggest that human motor preparation and execution are largely affected by the subjective emotional state. Thus, external emotion stimuli can be a potential tool to enhance the detectability of movement intention from pre-movement neural signals. This article investigated whether emotion-evoking music stimulus could improve the performances of a fully predictive Brain-Computer Interface (BCI) system for movement intention detection. For this purpose, electro encephalo graphical (EEG) signals were recorded from twelve healthy subjects under three emotional conditions: happy, sad, and neutral. The emotions were elicited using external music stimuli while they performed a wrist extension action. Additionally, support vector machine-based offline and pseudo online testing schemes were employed to solve a binary classification problem for determining movement intention from pre-movement EEG. EEG power analysis showed that happy music stimulus resulted in an early occurrence of event-related desynchronization in alpha band compared to other emotional states. Happy emotional stimuli also resulted in comparatively better performances in both offline and pseudo online testing paradigms. The results of this article suggest that external happy music stimulus could enhance the early and accurate detectability of human self-paced movement intention and thus could contribute to the predictive capability of state-of-the-art assistive BCIs.
ISSN:1949-3045
1949-3045
DOI:10.1109/TAFFC.2020.3025004