Development of benchmark datasets of multioriented hand gestures for speech and hearing disabled

Paul, Soumi; Nasser, Hayat; Mollah, Ayatullah Faruk; Bhattacharyya, Arpan; Ngo, Phuc; Nasipuri, Mita; Debled-Rennesson, Isabelle; Basu, Subhadip

doi:10.1007/s11042-021-11745-8

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“…Open source datasets include the following: ① PHOENIX-Weather continuous sign language datasets [9] They contain 45,760 video samples provided by 9 people, including 5,356 sentences related to weather forecasts.…”

Section: Open Source Datasetsmentioning

confidence: 99%

Sign language recognition based on depth image processing

Zhang¹

2022

HSET

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Deaf and mute people mainly rely on sign language to communicate, but they still face many problems in their daily life. The interaction between humans and computers has developed extensively in recent years, the flexible and easy-to-understand characteristics of sign language make it suitable for application in the technology of computer vision. This paper mainly introduces sign language recognition from the current research status, application of deep image processing technology, collection of sign language datasets and the final results. After analysis, this paper finally established a recognition model with the wrist joint as the center point to complete the extraction of hand features. This paper input a large number of pictures to train the model, and the final recognition rate reached 91.3%. This paper can widely apply this recognition technology in computer-aided teaching, TV program bilingual broadcasting, virtual human research, medical research, game entertainment and many other aspects.

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Section: Open Source Datasetsmentioning

confidence: 99%