A Robust Screen-Free Brain-Computer Interface for Robotic Object Selection
نویسندگان
چکیده
منابع مشابه
Control of a 2-DoF robotic arm using a P300-based brain-computer interface
In this study, a novel control algorithm, based on a P300-based brain-computer interface (BCI) is fully developed to control a 2-DoF robotic arm. Eight subjects including 5 men and 3 women perform a 2-dimensional target tracking in a simulated environment. Their EEG (Electroencephalography) signals from visual cortex are recorded and P300 components are extracted and evaluated to perform a real...
متن کاملA Brain-Computer Interface for robotic arm control
Brain-Computer Interfaces (BCI) are tools that open a new channel of communication between humans and machines. The majority of human input devices for computers require proper functioning of our primary sensors and motor functions like grasping, moving and visual perception. In the case of severe motor disabilities, like amyotrophic lateral sclerosis (ALS) or spinal chord injury (SCI), these p...
متن کاملA Robust Driver Assessment Method for the Brain-computer Interface
Brain-computer interfaces (BCI) are a valuable proposition for the long-term vision of the automotive human-machine interfaces and for increasing the personal mobility of users with physical disabilities. In this work, we do not attempt to improve the vehicle control through a BCI. Instead, we focus on assessing the driver’s fatigue using a non-invasive BCI technology, a mobile electroencephalo...
متن کاملA Robotic Rehabilitation Arm Driven by Somatosensory Brain-Computer Interface
It was expected to benefit patient with hemiparesis after stroke by extensive arm rehabilitation, to partially regain forearm and hand function. This paper propose a robotic rehabilitation arm in assisting the hemiparetic patient to learn new ways of using and moving their weak arms. In this study, the robotic arm was driven by a somatosensory stimulated brain computer interface (BCI), which is...
متن کاملBrain-Computer Interface Controlled Robotic Gait Orthosis: A Case Report
An able-bodied subject used walking motor imagery to accurately operate a non-invasive brain-computer interface (BCI) controlled robotic gait orthosis. This finding represents the first successful demonstration of a BCI-controlled lower extremity prosthesis for independent ambulation, with significant implications for restoring ambulation to individuals with spinal cord injury paraplegia.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Frontiers in Robotics and AI
سال: 2020
ISSN: 2296-9144
DOI: 10.3389/frobt.2020.00038