Improved dynamic gesture segmentation for Thai sign language translation

Werapan, W.; Chotikakamthorn, Nopporn

doi:10.1109/icosp.2004.1441603

Cited by 9 publications

(13 citation statements)

References 3 publications

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“…Some of these works also define a small set of simple gestures that could be used for HCI through gestures, such as [6,23,25,32,33]. Studies aiming at sign language processing define a reduced set of signs: 34 gestures from Japanese Dactylology [24]; 14 gestures from Taiwanese Sign Language [38]; 23 gestures from Vietnamese Alphabet [39].…”

Section: Analysis Of a Predefined Vocabulary Of Gesturesmentioning

confidence: 99%

“…However, as aforementioned, we are interested in how these studies deal with temporal aspects of hand gestures analysis. In [7,32,33,38,40], it is aimed at analyzing continuous gestures, including segmentation and recognition of a predefined set of gestures. In other studies, such as 10 In this case, "data" are gestures captured by cameras or sensor devices.…”

Section: Analysis Of a Predefined Vocabulary Of Gesturesmentioning

confidence: 99%

See 1 more Smart Citation

A Review of Temporal Aspects of Hand Gesture Analysis Applied to Discourse Analysis and Natural Conversation

Madeo¹,

Wagner²,

Peres³

2013

IJCSIT

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Lately, there has been an increasinginterest in hand gesture analysis systems. Recent works have employedpattern recognition techniques and have focused on the development of systems with more natural userinterfaces. These systems may use gestures to control interfaces or recognize sign language gestures, whichcan provide systems with multimodal interaction; or consist in multimodal tools to help psycholinguists tounderstand new aspects of discourse analysis and to automate laborious tasks.Gestures are characterizedby several aspects, mainly by movementsand sequence of postures. Since data referring to movementsorsequencescarry temporal information, this paper presents aliteraturereviewabouttemporal aspects ofhand gesture analysis, focusing on applications related to natural conversation and psycholinguisticanalysis, using Systematic Literature Review methodology. In our results, we organized works according totype of analysis, methods, highlighting the use of Machine Learning techniques, and applications

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Section: Analysis Of a Predefined Vocabulary Of Gesturesmentioning

confidence: 99%

Section: Analysis Of a Predefined Vocabulary Of Gesturesmentioning

confidence: 99%

A Review of Temporal Aspects of Hand Gesture Analysis Applied to Discourse Analysis and Natural Conversation

Madeo¹,

Wagner²,

Peres³

2013

IJCSIT

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“…The researcher collects the database separately in different condition that match with their own criteria and doing the recognition process based on the available database. The research in SL recognition has been conducted done for different SLs from different country [5,6,8] and also for multiple SL such as Greek SL and British SL [9]. The prior research for SL was only comes with the output of system, it was not included the comprehensive database.…”

Section: Sl Database Trendmentioning

confidence: 99%

“…The medium or communication tool will have an ability to translate the SL into the verbal language, and vice versa. The research of SL has been done by many researchers, some of the examples of the SL recognition tools have been presented in [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Malaysian Sign Language database for research

Maarif

Akmeliawati

Bilal

2012

2012 International Conference on Computer and Communication Engineering (ICCCE)

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Malaysian Sign Language (MSL) is the main language that is commonly used by the hearing and speech impaired person in Malaysian. The SL (SL) involves hand movement, and hand gestures. In order to help people who are not familiar, but need to understand a particular SL, an automatic SL recognition system is highly required. The research in this area, especially for MSL, has been conducted by many researchers, but one of the main challenges in this research is the availability of suitable sign database for the recognition. The existing databases, especially which of MSL database, are provided often without a proper standard of image resolution, structure and compression that are sufficiently good for research purpose. To provide comprehensive information for the research on MSL, the MSL database is highly required. In this project, a MSL database is developed. The database is the first of the kind and developed for research purpose. In general, the structure of the MSL database is classified into groups that deal with the hand movement, hand gestures, and hand location. For the classification in our proposed database, the MSL is classified into One Hand, Two Hands, Static, and Dynamic. This classification is made to ease researchers in defining the research method for each type offhand signing.

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“…The research in SL recognition has been conducted for different SLs in different countries [12][13]15] and SL variants [5]. Many research in SL recognition only depicted the output of system and did not include the comprehensive dataset in the results.…”

Section: Work On Constructing Databases For Sl Recognitionmentioning

confidence: 99%

Malaysian sign language dataset for automatic sign language recognition system

Karbasi¹,

Zabidi²,

Yassin³

et al. 2018

J. Fundam and Appl Sci.

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Hearing impaired individuals have issues to communicate with normal people. They have their own language called Sign Language (SL) to express their feeling or to communi with others. As communication is an essential part of normal everyday life, it is particularly important for deaf people to communicate as normally as possible with others. Recent advancements in computing technologies have the potential to be applied recognition. These computer language and vice-versa. This paper describes the development of a dataset for an automated SL recognition system based on the Malaysian Sign Language are described.

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Improved dynamic gesture segmentation for Thai sign language translation

Cited by 9 publications

References 3 publications

A Review of Temporal Aspects of Hand Gesture Analysis Applied to Discourse Analysis and Natural Conversation

A Review of Temporal Aspects of Hand Gesture Analysis Applied to Discourse Analysis and Natural Conversation

Malaysian Sign Language database for research

Malaysian sign language dataset for automatic sign language recognition system

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