Today, daily life is composed of many computing systems, therefore interacting with them in
a natural way makes the communication process more comfortable. Human–Computer …

This article presents a novel model named Adversarial Auto-encoder Domain Adaptation to
handle the recommendation problem under cold-start settings. Specifically, we divide the …

Surface electromyographic signal (sEMG) is a kind of bioelectrical signal, which records the
data of muscle activity intensity. Most sEMG-based hand gesture recognition, which uses …

In clinical practice, acute post-stroke paresis of the extremities fundamentally complicates
timely rehabilitation of motor functions; however, recently, residual and distorted …

Wrist-based hand gesture recognition has the potential to unlock naturalistic human-
computer interaction for a vast array of virtual and augmented reality applications …

Currently, gesture recognition provides a faster, simpler, convenient, effective and more
natural way for human-computer interaction, which has been widely concerned. Gesture …

Ischemic stroke is an acute cerebral vascular disease and makes up about 80% of all stroke
cases. Noncontrast computed tomography (NCCT) is a widely applied imaging technique for …

The hand plays a very important role in our daily life, and the amputees suffer a lot from the
loss of hands or upper limbs. Hence, assisting devices are desired urgently. Today, the …

Background In-home rehabilitation systems are a promising, potential alternative to
conventional therapy for stroke survivors. Unfortunately, physiological differences between …

Background Motor imagery (MI) related features are typically extracted from a fixed
frequency band and time window of EEG signal. Meanwhile, the time when the brain activity …