The ability of computers to recognise hand gestures visually is essential for progress in
human–computer interaction. Gesture recognition has applications ranging from sign …

This paper presents a literature review on the use of depth for hand tracking and gesture
recognition. The survey examines 37 papers describing depth-based gesture recognition …

Three-dimensional hand gesture recognition has attracted increasing research interests in
computer vision, pattern recognition, and human-computer interaction. The emerging depth …

This book originates from three-dimensional data processing research in the Multimedia
Technology and Telecommunications Laboratory (LTTM) at the Department of Information …

7,668,340 B2 2/2010 Cohen et al. 7,680,298 B2 3/2010 Roberts et al. 7,683,954 B2 3/2010
Ichikawa et al. 7,684,592 B2 3/2010 Paul et al. 7, 701439 B2 4/2010 Hillis et al. 7,702,130 …

This paper presents the simultaneous utilization of video images and inertial signals that are
captured at the same time via a video camera and a wearable inertial sensor within a fusion …

We present a new algorithm for state machine replication that is built around a leader-driven
consensus primitive. This algorithm requires only two additional communication steps …

Hand gesture recognition is a popular topic in computer vision and makes human-computer
interaction more flexible and convenient. The representation of hand gestures is critical for …

Existing public domain multi-modal datasets for human action recognition only include
actions of interest that have already been segmented from action streams. These datasets …

This paper describes the simultaneous utilization of inertial and video sensing for the
purpose of achieving human action detection and recognition in continuous action streams …