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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 …
Recent progress of tactile and force sensors for human–machine interaction
Human–Machine Interface (HMI) plays a key role in the interaction between people and
machines, which allows people to easily and intuitively control the machine and immersively …
machines, which allows people to easily and intuitively control the machine and immersively …
EEG-based BCI control schemes for lower-limb assistive-robots
Over recent years, brain-computer interface (BCI) has emerged as an alternative
communication system between the human brain and an output device. Deciphered intents …
communication system between the human brain and an output device. Deciphered intents …
[HTML][HTML] Real-time surface EMG pattern recognition for hand gestures based on an artificial neural network
In recent years, surface electromyography (sEMG) signals have been increasingly used in
pattern recognition and rehabilitation. In this paper, a real-time hand gesture recognition …
pattern recognition and rehabilitation. In this paper, a real-time hand gesture recognition …
Study of stability of time-domain features for electromyographic pattern recognition
Background Significant progress has been made towards the clinical application of human-
machine interfaces (HMIs) based on electromyographic (EMG) pattern recognition for …
machine interfaces (HMIs) based on electromyographic (EMG) pattern recognition for …
Highly stable ladder‐type conjugated polymer based organic electrochemical transistors for low power and signal processing‐free surface electromyogram triggered …
Organic electrochemical transistors (OECTs) based complementary inverters have been
considered as promising candidates in electrophysiological amplification, owing to their low …
considered as promising candidates in electrophysiological amplification, owing to their low …
Support vector machines to detect physiological patterns for EEG and EMG-based human–computer interaction: a review
Support vector machines (SVMs) are widely used classifiers for detecting physiological
patterns in human–computer interaction (HCI). Their success is due to their versatility …
patterns in human–computer interaction (HCI). Their success is due to their versatility …
Developments in the human machine interface technologies and their applications: a review
Human-machine interface (HMI) techniques use bioelectrical signals to gain real-time
synchronised communication between the human body and machine functioning. HMI …
synchronised communication between the human body and machine functioning. HMI …
Wearable and comfortable e-textile headband for long-term acquisition of forehead EEG signals
Electroencephalography (EEG) has a wide range of applications in medical diagnosis, and
novel form of Human Machine Interfaces (HMI) for controlling prosthetic implants …
novel form of Human Machine Interfaces (HMI) for controlling prosthetic implants …
Soft robotic manipulation system capable of stiffness variation and dexterous operation for safe human–machine interactions
Soft robots have attracted great attention in the past decades owing to their unique flexibility
and adaptability for accomplishing tasks via simple control strategies, as well as their …
and adaptability for accomplishing tasks via simple control strategies, as well as their …