Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: A review
The brain–computer interface (BCI) is an emerging technology that has the potential to
revolutionize the world, with numerous applications ranging from healthcare to human …
revolutionize the world, with numerous applications ranging from healthcare to human …
Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states
Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …
review the physical principles of BCIs, and underlying novel approaches for registration …
Combination of augmented reality based brain-computer interface and computer vision for high-level control of a robotic arm
Recent advances in robotics, neuroscience, and signal processing make it possible to
operate a robot through electroencephalography (EEG)-based brain-computer interface …
operate a robot through electroencephalography (EEG)-based brain-computer interface …
A review of brain activity and EEG-based brain–computer interfaces for rehabilitation application
Patients with severe CNS injuries struggle primarily with their sensorimotor function and
communication with the outside world. There is an urgent need for advanced neural …
communication with the outside world. There is an urgent need for advanced neural …
Real-time EEG–EMG human–machine interface-based control system for a lower-limb exoskeleton
SY Gordleeva, SA Lobov, NA Grigorev… - Ieee …, 2020 - ieeexplore.ieee.org
This article presents a rehabilitation technique based on a lower-limb exoskeleton
integrated with a human-machine interface (HMI). HMI is used to record and process …
integrated with a human-machine interface (HMI). HMI is used to record and process …
Emerging trends in BCI-robotics for motor control and rehabilitation
Neuroengineering research over the last two decades has demonstrated promising
evidence on the use of brain-computer interface (BCI) to enhance functional recovery and …
evidence on the use of brain-computer interface (BCI) to enhance functional recovery and …
Embodied communication: How robots and people communicate through physical interaction
A Kalinowska, PM Pilarski… - Annual review of control …, 2023 - annualreviews.org
Early research on physical human–robot interaction (pHRI) has necessarily focused on
device design—the creation of compliant and sensorized hardware, such as exoskeletons …
device design—the creation of compliant and sensorized hardware, such as exoskeletons …
Soft Sensors and Actuators for Wearable Human–Machine Interfaces
Haptic human–machine interfaces (HHMIs) combine tactile sensation and haptic feedback
to allow humans to interact closely with machines and robots, providing immersive …
to allow humans to interact closely with machines and robots, providing immersive …
Converging robotic technologies in targeted neural rehabilitation: a review of emerging solutions and challenges
Recent advances in the field of neural rehabilitation, facilitated through technological
innovation and improved neurophysiological knowledge of impaired motor control, have …
innovation and improved neurophysiological knowledge of impaired motor control, have …
Hierarchical classification of subject-cooperative control strategies for lower limb exoskeletons in gait rehabilitation: A systematic review
Over the last decade, lower limb exoskeletons have seen significant development, with a
particular focus on improving the interaction between the subject and the exoskeleton. This …
particular focus on improving the interaction between the subject and the exoskeleton. This …