Brain-computer interfaces (BCIs) represent a new frontier in the effort to maximize the ability
of individuals with profound motor impairments to interact and communicate. While much …

Eye movements show primary responses that reflect humans' voluntary intention and
conscious selection. Because visual perception is one of the fundamental sensory …

Many wheelchair people depend on others to control the movement of their wheelchairs,
which significantly influences their independence and quality of life. Smart wheelchairs offer …

Wearable devices are being developed faster and applied more widely. Wearables have
been used to monitor movement-related physiological indices, including heartbeat …

The firstgeneration of brain-computer interfaces (BCI) classifies multi-channel
electroencephalographic (EEG) signals, enhanced by optimized spatial filters. The second …

As a significant technological innovation in the fields of medicine and geriatric care, smart
care wheelchairs offer a novel approach to providing high-quality care services and …

Electrooculography (EOG) is considered as the most stable physiological signal in the
development of human-computer interface (HCI) for detecting eye-movement variations …

This study proposes a brain‐computer interface (BCI)‐and Internet of Things (IoT)‐based
smart ward collaborative system using hybrid signals. The system is divided into hybrid …

Industrial human-robot collaboration (HRC) aims to combine human intelligence and robotic
capability to achieve higher productiveness. In industrial HRC, the communication between …

It is costly to develop systems that enable individuals exposed to Amyotrophic Lateral
Sclerosis and similar diseases that directly affect the neuromotor ability to communicate with …