Deep learning based on neural networks has been widely used in image recognition,
speech recognition, natural language processing, automatic driving, and other fields and …

Shoulder pain represents the most frequently reported musculoskeletal disorder, often
leading to significant functional impairment and pain, impacting quality of life. Home-based …

Edge devices offer advantages such as low computation latency and high data security for
executing convolutional neural networks (CNNs). However, deploying CNNs on resource …

Prosthetic hands have significant potential to restore the manipulative capabilities and self-
confidence of amputees and enhance their quality of life. However, incompatibility between …

By employing traditional single-mode sensors, such as bending strain and magnetic fields, it
is challenging to fully perceive the attitude and position of the human hand, thus reducing …

Modulo scheduling is the premier technique for throughput maximization of loops in high-
level synthesis by interleaving consecutive loop iterations. The number of clock cycles …

In this article, we consider the problem of hand gesture recognition (HGR) using millimeter-
wave (mmWave) radar. To improve the HGR performance while using low computational …

The use of new technologies in the field of motor rehabilitation aims to improve both
movements and functions. Specifically, such use is important in rehabilitating the upper …

In recent decades, the population of people with disabilities has had an exponential growth
due to the increase in pathologies that lead to an impairment in neuromotor functioning …

Prosthetic hands hold significant potential in aiding amputees to regain their manipulative
abilities, instill confidence, and improve their quality of life. Nonetheless, the lack of …