Brain-Computer Interface-Based Humanoid Control: A Review
A Brain-Computer Interface (BCI) acts as a communication mechanism using brain signals to control external devices. The generation of such signals is sometimes independent of the nervous system, such as in Passive BCI. This is majorly beneficial for those who have severe motor disabilities. Traditio...
Main Authors: | Vinay Chamola, Ankur Vineet, Anand Nayyar, Eklas Hossain |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-06-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/13/3620 |
Similar Items
-
Improvement of P300-Based Brain–Computer Interfaces for Home Appliances Control by Data Balancing Techniques
by: Taejun Lee, et al.
Published: (2020-09-01) -
On the Feasibility of Using an Ear-EEG to Develop an Endogenous Brain-Computer Interface
by: Soo-In Choi, et al.
Published: (2018-08-01) -
Advances in P300 brain–computer interface spellers: toward paradigm design and performance evaluation
by: Jiahui Pan, et al.
Published: (2022-12-01) -
Decoding Pain: A Comprehensive Review of Computational Intelligence Methods in Electroencephalography-Based Brain–Computer Interfaces
by: Hadeel Alshehri, et al.
Published: (2025-01-01) -
Mindset—A General Purpose Brain–Computer Interface System for End-Users
by: Jason Leung, et al.
Published: (2024-01-01)