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 …

Direct use of the hand as an input device is an attractive method for providing natural human–
computer interaction (HCI). Currently, the only technology that satisfies the advanced …

This paper presents a new superpixel-based hand gesture recognition system based on a
novel superpixel earth mover's distance metric, together with Kinect depth camera. The …

Time-of-Flight (ToF) and other IR-based cameras that register depth are becoming more and
more affordable in consumer electronics. This paper aims to improve a realtime hand …

Motion recognition is a topic in software engineering and dialect innovation with a goal of
interpreting human signals through mathematical algorithm. Hand gesture is a strategy for …

We address the task of pixel-level hand detection in the context of ego-centric cameras.
Extracting hand regions in ego-centric videos is a critical step for understanding handobject …

We describe a two-stage method for detecting hands and their orientation in unconstrained
images. The first stage uses three complementary detectors to propose hand bounding …

A system for the detection, segmentation and recognition of multi-class hand postures
against complex natural backgrounds is presented. Visual attention, which is the cognitive …

This paper compares the accuracy of Decision Tree and Bayesian Network algorithms for
predicting the academic performance of undergraduate and postgraduate students at two …

In this paper, a parallel network based on hand detection and body pose estimation is
proposed to detect and distinguish human's right and left hands. The network is employed …