Gesture recognition aims to recognize meaningful movements of human bodies, and is of
utmost importance in intelligent human-computer/robot interactions. In this paper, we …

Gesture recognition aims at understanding the ongoing human gestures. In this paper, we
present a deep architecture to learn spatiotemporal features for gesture recognition. The …

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 …

Sign language is a visual language used by persons with hearing and speech impairment to
communicate through fingerspellings and body gestures. This paper proposes a framework …

Gesture recognition, which aims to understand meaningful movements of human bodies,
plays an essential role in human–computer interaction. The key to gesture recognition is to …

Hand gesture recognition (HGR) from sequences of depth maps is a challenging computer
vision task because of the low inter-class and high intra-class variability, different execution …

Human activity recognition using sole depth information from 3D sensors achieves superior
performances to tackle light changes and cluttered backgrounds than using RGB sequences …

Augmented reality assisted assembly training (ARAAT) is an effective and affordable
technique for labor training in the automobile and electronic industry. In general, most tasks …

The past several years have witnessed increasing research interest on covariance-based
feature representation. Originally proposed as a region descriptor, it has now been used as …

Three-dimensional (3-D) action recognition has broad applications in human-computer
interaction and intelligent surveillance. However, recognizing similar actions remains …