A new gesture recognition algorithm and segmentation method of Korean scripts for gesture-allowed ink editor

Cho, Mi Gyung

doi:10.1016/j.ins.2005.04.006

Cited by 20 publications

(14 citation statements)

References 12 publications

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“…Korean Sign Language (KSL) is recognized by [52]. [53] define a new gesture recognition algorithm for Korean scripts. A lexicon of 250 vocabularies in Taiwanese Sign Language (TWL) is recognized by [54].…”

Section: Application Areasmentioning

confidence: 99%

A Survey on Vision-based Dynamic Gesture Recognition

Saikia¹,

Saharia²

2016

IJCA

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Gesture is the most primitive way of communication among human being. Today in the era of modern technology gesture recognition influences the world very diversely, from the physically challenged people to robot control to virtual reality environments. Compared to the systems which use extra devices (gloves, sensors), vision-based systems are more userfriendly and simple. Vision-based systems are easy to use, but most difficult to implement. This paper presents a comprehensive survey on the vision-based dynamic gesture recognition approaches, a comparative study on those methods, and find out the issues and challenges in this area.

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Section: Application Areasmentioning

confidence: 99%

A Survey on Vision-based Dynamic Gesture Recognition

Saikia¹,

Saharia²

2016

IJCA

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“…Developing of various sign languages like American sign language [11], Arabic sign language(ArSL) [12], Japanese sign language (JSL) [13], [14], Korean sign language(KSL) [15], [16], Brazilian sign language [17] gives new life for hearing impaired and physically challenged people. System developed for hand gesture recognition in computer vision can easily recognize the gestures and use them for controlling the electronic devices.…”

Section: Computer Visionmentioning

confidence: 99%

Dance Gesture Recognition: A Survey

Devi¹,

Saharia²,

Bhattacharyya³

2015

IJCA

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Gesture recognition means the identification of different expressions of human body parts to express the idea, thoughts and emotion. It is a multi-disciplinary research area. The application areas of gesture recognition have been spreading very rapidly in our real-life activities including dance gesture recognition. Dance gesture recognition means the recognition of meaningful expression from the different dance poses. Today, research on dance gesture recognition receives more and more attention throughout the world. The automated recognition of dance gestures has many applications. The motive behind this survey is to present a comprehensive survey on automated dance gesture recognition with emphasis on static hand gesture recognition. Instead of whole body movement, we consider human hands because human hands are the most flexible part of the body and can transfer the most meaning. A list of research issues and open challenges is also highlighted.

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“…Kim (1996) recognized Korean Sign Language (KSL). Cho (2006) define a new gesture recognition algorithm for Korean scripts. Liang (1998) introduced lexicon of 250 vocabularies in Taiwanese Sign Language (TWL), Maraqa (2008) recognized Arabic Sign Language (ArSL).…”

Section: Sign Language Recognitionmentioning

confidence: 99%

Survey on Gesture Recognition for Hand Image Postures

Khan¹,

Ibraheem²

2012

CIS

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One of the attractive methods for providing natural human-computer interaction is the use of the hand as an input device rather than the cumbersome devices such as keyboards and mice, which need the user to be located in a specific location to use these devices. Since human hand is an articulated object, it is an open issue to discuss. The most important thing in hand gesture recognition system is the input features, and the selection of good features representation. This paper presents a review study on the hand postures and gesture recognition methods, which is considered to be a challenging problem in the human-computer interaction context and promising as well. Many applications and techniques were discussed here with the explanation of system recognition framework and its main phases.

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A new gesture recognition algorithm and segmentation method of Korean scripts for gesture-allowed ink editor

Cited by 20 publications

References 12 publications

A Survey on Vision-based Dynamic Gesture Recognition

A Survey on Vision-based Dynamic Gesture Recognition

Dance Gesture Recognition: A Survey

Survey on Gesture Recognition for Hand Image Postures

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