The use of correlation analysis in the algorithm of dynamic gestures recognition in video sequence

Kudubayeva, Saule; Amangeldy, Nurzada; Sundetbayeva, Ainur; Sarinova, Assiya

doi:10.1145/3330431.3330439

Cited by 6 publications

(2 citation statements)

References 3 publications

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“…For static and dynamical gestures with the palm pointing to the camera or to the speaker (Figures 4 and 5), various algorithms can be used to accurately determine the configurations or shape of the hand [41]. If the palm is oriented left, right, up and down, the hand configuration may not be correctly read by a simple camera and thus impairs the detection of hand features and object recognition (Figure 6).…”

Section: Problem Descriptionmentioning

confidence: 99%

Sign Language Recognition Method Based on Palm Definition Model and Multiple Classification

Amangeldy

Kudubayeva

Kassymova

et al. 2022

Sensors

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Technologies for pattern recognition are used in various fields. One of the most relevant and important directions is the use of pattern recognition technology, such as gesture recognition, in socially significant tasks, to develop automatic sign language interpretation systems in real time. More than 5% of the world’s population—about 430 million people, including 34 million children—are deaf-mute and not always able to use the services of a living sign language interpreter. Almost 80% of people with a disabling hearing loss live in low- and middle-income countries. The development of low-cost systems of automatic sign language interpretation, without the use of expensive sensors and unique cameras, would improve the lives of people with disabilities, contributing to their unhindered integration into society. To this end, in order to find an optimal solution to the problem, this article analyzes suitable methods of gesture recognition in the context of their use in automatic gesture recognition systems, to further determine the most optimal methods. From the analysis, an algorithm based on the palm definition model and linear models for recognizing the shapes of numbers and letters of the Kazakh sign language are proposed. The advantage of the proposed algorithm is that it fully recognizes 41 letters of the 42 in the Kazakh sign alphabet. Until this time, only Russian letters in the Kazakh alphabet have been recognized. In addition, a unified function has been integrated into our system to configure the frame depth map mode, which has improved recognition performance and can be used to create a multimodal database of video data of gesture words for the gesture recognition system.

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Section: Problem Descriptionmentioning

confidence: 99%

Sign Language Recognition Method Based on Palm Definition Model and Multiple Classification

Amangeldy

Kudubayeva

Kassymova

et al. 2022

Sensors

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“…Figure6shows the results of timing diagrams implementation and some examples of load voltage graphs with half-wave and full-wave rectification without a filter[6][7].…”

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confidence: 99%

Investigation of the Operating Parameters of Rectifier Devices Using Modern Software Tools

Sarinova

Drobinsky

Kirichenko

2022

J. Phys.: Conf. Ser.

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Rectifier devices that convert alternating voltage into constant voltage are widely used in the energy industry. Laboratory studies allow us to obtain results showing the nature of the time dependencies of the operating parameters of rectifier devices. In this regard, the use of software tools allows for a more accurate, less time-consuming construction of time diagrams of the operating parameters of rectifier devices.

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An exploratory user study towards developing a unified, comprehensive assessment apparatus for deaf signers, specifically tailored for signing avatars evaluation: challenges, findings, and recommendations

Imashev,

Oralbayeva,

Sandygulova

2024

Multimed Tools Appl

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The use of correlation analysis in the algorithm of dynamic gestures recognition in video sequence

Cited by 6 publications

References 3 publications

Sign Language Recognition Method Based on Palm Definition Model and Multiple Classification

Sign Language Recognition Method Based on Palm Definition Model and Multiple Classification

Investigation of the Operating Parameters of Rectifier Devices Using Modern Software Tools

An exploratory user study towards developing a unified, comprehensive assessment apparatus for deaf signers, specifically tailored for signing avatars evaluation: challenges, findings, and recommendations

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