Data glove is one of the devices that can express human intention via detecting hand motion
with high precision. In recent years, flourished applications have been driven by data gloves …

The research on the remote control of manipulators based on flexible sensor technology is
gradually extensive. In order to achieve stable, accurate, and efficient control of the …

Grasp classification is pivotal for understanding human interactions with objects, with wide-
ranging applications in robotics, prosthetics, and rehabilitation. This study introduces a novel …

During the last decade, soft robotic systems, such as actuators and grippers, have been
employed in various commercial applications. Due to the need to integrate robotic …

The Action Research Arm Test (ARAT) can provide subjective results due to the difficulty
assessing abnormal patterns in stroke patients. The aim of this study was to identify joint …

Metal artifact reduction (MAR) is important for clinical diagnosis with CT images. The existing
state-of-the-art deep learning methods usually suppress metal artifacts in sinogram or image …

The rehabilitation process after the onset of a stroke primarily deals with assisting in
regaining mobility, communication skills, swallowing function, and activities of daily living …

Data glove-based dynamic gestures contain rich human motion intentions, which are reliant
on the hand–body information that comes from multiindividual sensors attached. However …

The clinical rehabilitation assessment methods for hemiplegic upper limb motor function are
often subjective, time-consuming, and non-uniform. This study proposes an automatic …

Continuous mode delivery of medical oxygen from oxygen concentrators and oxygen
cylinders leads to wastage of precious medical oxygen during exhalation and rest phases of …