Bringing Motor Imagery BCI systems outside of the laboratory into daily activities
Motor Imagery Brain-Computer Interfaces(MI-BCIs) transform imagined movements into actionable control signals, enabling applications such as wheelchair navigation and robotic device operation. By leveraging the brain's ability to generate neural activity similar to actual movement during imagin...
Saved in:
Main Authors: | Sonal Santosh Baberwal, Shirley Coyle |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-03-01
|
Series: | Science Talks |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2772569325000027 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Distribution Adaptive Feedback Training Method to Improve Human Motor Imagery Ability
by: Yukun Zhang, et al.
Published: (2025-01-01) -
The Brain Activation of Two Motor Imagery Strategies in a Mental Rotation Task
by: Cancan Wang, et al.
Published: (2024-12-01) -
Progress in the application of motor imagery therapy in upper limb motor function rehabilitation of stroke patients with hemiplegia
by: Shuying Shen, et al.
Published: (2025-02-01) -
FBATCNet: A Temporal Convolutional Network With Frequency Band Attention for Decoding Motor Imagery EEG
by: Shuaishuai Ma, et al.
Published: (2025-01-01) -
Exploring the impact of aging on motor imagery abilities: a systematic review with meta-analysis
by: José Fierro-Marrero, et al.
Published: (2025-01-01)