Gesture recognition using machine-learning methods is valuable in the development of
advanced cybernetics, robotics and healthcare systems, and typically relies on images or …

Human gesture recognition has become a pillar of today's intelligent Human-Computer
Interfaces as it typically provides more comfortable and ubiquitous interaction. Such expert …

Digital technology has brought new opportunities for language education. Multimodal
literacy refers to the ability to read, watch, understand, respond to, and generate multimodal …

With the development of Industry 4.0, robots tend to be intelligent and collaborative. For one,
robots can interact naturally with humans. For another, robots can work collaboratively with …

This book is part of the Human Centered Book Trilogy, the 2021 volumes of the Routledge
Human Centered Management HCM Series. HCM books are pioneering transformation from …

Sensor scheduling for energy-efficient collaborative target tracking in wireless sensor
networks (WSNs) is an important problem to deal with the limited network resources. With …

In order to overcome the drawbacks of traditional gait training methods, gait rehabilitation
robotized systems have been developed to provide a consistent, labor-saving and efficient …

The development of human-like artificial intelligence has been a goal of computer scientists
since the 1950s. Recent technological developments have led to an increased interest in the …

In order to create effective storytelling agents three fundamental questions must be
answered: first, is a physically embodied agent preferable to a virtual agent or a voice-only …

Emotion recognition through facial expressions represents a relevant way to understand and
even predict the human behavior. Thus, it has been used in various fields such as human …