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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Dissertation
Gesture based interface for asynchronous video communication for deaf people in South Africa
TL;DR: This dissertation looks at implementing a gesture-based interface for an asynchronous video communication for Deaf people using a user centred design approach and showed that the majority of the users were satisfied with the quality of the video communication.
Based Direction Control of using Arduino Microcontroller
TL;DR: In this paper, a different approach to drive a using hand gesture with the help of software tool is presented, and the same design is implemented on hardware using Ardiuno Microcontroller.
Journal Article
Human activity recognition in videos : A systematic approach
Sameer Singh,Jessica JunLin Wang +1 more
TL;DR: In this paper, the authors presented a systematic approach to extract visual features from image sequences that are used for classifying different human activities, for example whether a person is walking, clapping, waving, etc.
Posted Content
Simultaneous Segmentation and Recognition: Towards more accurate Ego Gesture Recognition
Tejo Chalasani,Aljosa Smolic +1 more
TL;DR: In this paper, a gesture recognition deep neural network was proposed to recognize ego hand gestures from videos by generating and recognizing embeddings of ego hands from image sequences of varying length.
References
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Journal ArticleDOI
A tutorial on hidden Markov models and selected applications in speech recognition
TL;DR: In this paper, the authors provide an overview of the basic theory of hidden Markov models (HMMs) as originated by L.E. Baum and T. Petrie (1966) and give practical details on methods of implementation of the theory along with a description of selected applications of HMMs to distinct problems in speech recognition.
Journal ArticleDOI
Active shape models—their training and application
TL;DR: This work describes a method for building models by learning patterns of variability from a training set of correctly annotated images that can be used for image search in an iterative refinement algorithm analogous to that employed by Active Contour Models (Snakes).
Journal ArticleDOI
Visual interpretation of hand gestures for human-computer interaction: a review
TL;DR: A fraction of the recycle slurry is treated with sulphuric acid to convert at least some of the gypsum to calcium sulphate hemihydrate and the slurry comprising hemihYDrate is returned to contact the mixture of phosphate rock, phosphoric acid and recycle Gypsum slurry.
Proceedings ArticleDOI
Real-time American Sign Language recognition from video using hidden Markov models
Thad Starner,Alex Pentland +1 more
TL;DR: A real-time HMM-based system for recognizing sentence level American Sign Language (ASL) which attains a word accuracy of 99.2% without explicitly modeling the fingers.
Journal ArticleDOI
An HMM-based threshold model approach for gesture recognition
Hyeon-Kyu Lee,Jin Hyung Kim +1 more
TL;DR: A new method is developed using the hidden Markov model (HMM) based technique that calculates the likelihood threshold of an input pattern and provides a confirmation mechanism for the provisionally matched gesture patterns.