C&EN

Smart and Low-Cost Flexible Strain Sensor Based on Graphene-MWCNT Porous Elastic Sponge for Home Control and Object Grasping Recognition Using Machine Learning

School of Physics and Optoelectric Engineering, Guangdong University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510006, P. R. China Guangdong Provincial Key Laboratory of Sensing ...
Live Science

Scientists use quantum machine learning to create semiconductors for the first time – and it could transform how chips are made

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing. When you purchase through ...
Frontiers

Enhancing action recognition in educational settings through exercise-induced neuroplasticity

Introduction: In educational settings, the role of neuroplasticity in shaping cognitive development has gained increasing attention. Traditional pedagogical models often fail to capture the dynamic ...
Frontiers

Translating human information into robot tasks: action sequence recognition and robot control based on human motions

Long-term use and highly reliable batteries are essential for wearable cyborgs including Hybrid Assistive Limb and wearable vital sensing devices. Consequently, there is ongoing research and ...
Scientific Research Publishing

Miao, F., Huang, Y., Lu, Z., Ohtsuki, T., Gui, G. and Sari, H. (2025) Wi-Fi Sensing Techniques for Human Activity Recognition: Brief Survey, Potential Challenges, and Research ...

ABSTRACT: With technological advancements and increasing user demands, human action recognition plays a pivotal role in the field of human-computer interaction. Among various sensing devices, WiFi ...
Scientific Research Publishing

A Survey of Human Pose Recognition Based on WiFi Sensing and Neural Network ()

With technological advancements and increasing user demands, human action recognition plays a pivotal role in the field of human-computer interaction. Among various sensing devices, WiFi equipment has ...
IEEE

Skeleton-Based Action Recognition Using Multibranch Adaptive Graph Convolutional Network With Pose Refinement

Abstract: A multibranch adaptive graph convolutional network is proposed for human action recognition by combining graph convolutional networks (GCNs), adaptive learning, and multibranch feature ...