There is a significant progress in the development of brain-controlled mobile robots and
robotic arms in the recent years. New advances in electroencephalography (EEG) …

The most popular noninvasive Brain Robot Interaction (BRI) technology uses the
electroencephalogram‐(EEG‐) based Brain Computer Interface (BCI), to serve as an …

Motor‐activity‐related mental tasks are widely adopted for brain‐computer interfaces (BCIs)
as they are a natural extension of movement intention, requiring no training to evoke brain …

With the development of conformable photonic platforms, particularly those that could be
interfaced with the human body or integrated into wearable technology, there is an ever …

This paper presents a new brain–robot interaction system by fusing human and machine
intelligence to improve the real-time control performance. This system consists of a hybrid …

Mental workload classification is a core element of designing adaptive Human-Computer
Interfaces and plays an essential role in increasing the safety and operator performance of …

Motor‐imagery tasks are a popular input method for controlling brain‐computer interfaces
(BCIs), partially due to their similarities to naturally produced motor signals. The use of …

Abstract Functional Near Infrared Spectroscopy (fNIRS) is an emerging neuroimaging
technique that utilizes near infrared light to detect cortical concentration changes of oxy …

Abstract Development in the field of bio-mechatronics has provided diverse ways to mimic
and improve the function of human limbs. Without an elbow joint, the hand remains stiff …

Abstract A Brain-computer Interface (BCI) is a system that interprets specific patterns in
human brain activity, such as the intention to perform motor functions, in order to generate a …