Action sequence guidance with exposure trajectory technology improves performance of motor imagery-based...

Area of Science:

• Neuroscience
• Human-Computer Interaction
• Biomedical Engineering

Background:

• Motor imagery (MI) paradigms are crucial for brain-computer interface (BCI) performance.
• Clear and intuitive guidance is essential for enhancing MI-BCI effectiveness.

Purpose of the Study:

• To propose and evaluate a novel MI-BCI paradigm using action sequence (AS) guidance.
• To compare the performance of the AS paradigm against traditional MI paradigms.

Main Methods:

• Developed an AS guidance paradigm visualizing sequential actions for motor imagery.
• Utilized an action exposure trajectory technique in a drawing task.
• Conducted offline and online experiments with ten subjects, evaluating EEG activation and BCI performance.

Main Results:

• The AS paradigm elicited more significant electroencephalography (EEG) event-related desynchronization/synchronization (ERD/ERS) features.
• Offline and online BCI accuracies improved by 8.37% and 7.95% respectively.
• Information transfer rates increased by 7.13 bits/min, reaching 15.60 bits/min.
• Subjects reported more comfortable subjective feelings.

Conclusions:

• Dynamic action sequences with exposure trajectory technique offer richer content and more intuitive guidance.
• This novel approach enhances brain activation and provides a new method for improving BCI performance.