Hand gesture, one of the essential ways for a human to convey information and express
intuitive intention, has a significant degree of differentiation, substantial flexibility, and high …

Information about limb movements can be used for monitoring physical activities or for
human-machine-interface applications. In recent years, a technique called Force Myography …

The fast development of smart sensors and wearable devices has provided the opportunity
to develop intelligent operator workspaces. The resultant Human-Cyber-Physical Systems …

Smart Logistics (SL) offers a competitive advantage for e-commerce by utilizing Information
and Communication Technologies (ICT) such as IoT, AI, Blockchain, Cloud computing, 5G …

Whereas pressure sensors increasingly have received attention as a non-invasive interface
for hand gesture recognition, their performance has not been comprehensively evaluated …

Various convolutional neural network (CNN)-based approaches have been recently
proposed to improve the performance of motor imagery based-brain-computer interfaces …

The last decade has witnessed a rapid increase of interest in new sensing and monitoring
devices, including wireless wearable mobile devices and sensing networks for medical …

Although smartwatches are gaining popularity among mainstream consumers, the input
space is limited due to their small form factor. The goal of this work is to explore how to …

This relates to a device that detects a user's motion and gesture input through the movement
of one or more of the user's hand, arm, wrist, and fingers, for example, to provide commands …

Gesture recognition is a very essential technology for many wearable devices. While
previous algorithms are mostly based on statistical methods including the hidden Markov …