Journal ArticleDOI
Recognition of dynamic hand gestures
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TLDR
A recognition engine is developed which can reliably recognize these gestures despite individual variations and has the ability to detect start and end of gesture sequences in an automated fashion.About:
This article is published in Pattern Recognition.The article was published on 2003-09-01. It has received 167 citations till now. The article focuses on the topics: Gesture recognition & Pattern recognition (psychology).read more
Citations
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Journal ArticleDOI
Gesture Recognition: A Survey
Sushmita Mitra,T. Acharya +1 more
TL;DR: A survey on gesture recognition with particular emphasis on hand gestures and facial expressions is provided, and applications involving hidden Markov models, particle filtering and condensation, finite-state machines, optical flow, skin color, and connectionist models are discussed in detail.
A review of vision based hand gestures recognition
G.R.S. Murthy,R. S. Jadon +1 more
TL;DR: The literature on visual interpretation of hand gestures in the context of its role in HCI and various seminal works of researchers are emphasized to introduce the field of gesture recognition as a mechanism for interaction with computers.
Journal ArticleDOI
Recent methods and databases in vision-based hand gesture recognition
TL;DR: A review of vision-based hand gesture recognition algorithms reported in the last 16 years using RGB and RGB-D cameras and qualitative and quantitative comparisons of algorithms are provided.
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Wearable Sensor-Based Hand Gesture and Daily Activity Recognition for Robot-Assisted Living
Chun Zhu,Weihua Sheng +1 more
TL;DR: This paper addresses natural human-robot interaction (HRI) in a smart assisted living (SAIL) system for the elderly and the disabled with a neural network for gesture spotting and a hierarchical hidden Markov model for context-based recognition.
Journal ArticleDOI
Attention Based Detection and Recognition of Hand Postures Against Complex Backgrounds
TL;DR: A system for the detection, segmentation and recognition of multi-class hand postures against complex natural backgrounds using a Bayesian model of visual attention to generate a saliency map, and to detect and identify the hand region.
References
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Journal ArticleDOI
A state-based approach to the representation and recognition of gesture
Aaron F. Bobick,Andrew D. Wilson +1 more
TL;DR: A state-based technique for the representation and recognition of gesture is presented, using techniques for computing a prototype trajectory of an ensemble of trajectories and for defining configuration states along the prototype and for recognizing gestures from an unsegmented, continuous stream of sensor data.
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Hand gesture recognition using combined features of location, angle and velocity
TL;DR: Experimental results demonstrate that the proposed HMM approach yields a satisfactory and higher recognition rate for user images of different hand size, shape and skew angle.
Mathematical Elements for Computer Graphics.
TL;DR: In this article, the emphasis has been shifted to the mathematics of more complex geometric entities such as polygonal regions, curves and surfaces, and algorithms for processing these shapes and in particular generating various kinds of images of these geometric shapes.
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Learning to track the visual motion of contours
TL;DR: A development of a method for tracking visual contours where a training motion of an object can be observed over some extended time and stored as an image sequence is used to learn parameters in a stochastic differential equation model.
DigitEyes: Vision-Based Human Hand Tracking
James M. Rehg,Takeo Kanade +1 more
TL;DR: A model-based hand tracking system that can recover the state of a 27 DOF hand model from gray scale images at speeds of up to 10 Hz is described, and some preliminary results on a 3D mouse interface based on the DigitEyes sensor are presented.