Owing to the proximity of the ear canal to the central nervous system, in-ear
electrophysiological systems can be used to unobtrusively monitor brain states. Here, by …

Brain-computer interface (BCI) is a novel human-computer interaction model, which does
not depend on the conventional output pathway (peripheral nerve and muscle tissue). In the …

Brain-computer interface (BCI) for robotic arm control has been studied to improve the life
quality of people with severe motor disabilities. There are still challenges for robotic arm …

Electric power wheelchairs (EPWs) enhance the mobility capability of the elderly and the
disabled, while the human-machine interaction (HMI) determines how well the human …

Brain-computer interface (BCI) provides a novel technology for patients and healthy human
subjects to control a robotic arm. Currently, BCI control of a robotic arm to complete the …

Eye-controlled human–computer interface (ECHCI) system is gradually becoming the focus
of audience attention, owing to its humanistic, natural, and intuitive characteristics, which …

The development of alternative pathways to communicate with outside world independent
on language or limb motions is important. However, one of the challenges is the multi …

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

In this paper, we develop a novel behavioral biometric recognition framework, BlinkAuth,
that takes advantage of a user's blinking. BlinkAuth utilizes electrooculogram (EOG) data,(ie …

Neck and/or head movements play an important role in the control of assistive devices such
as robotic wheelchairs, considering these systems allow the acquisition of intentionality …