RETRACTED ARTICLE: Application of human body gesture recognition algorithm based on deep learning in non-contact human body measurement

Li, Rong; Zou, Kun; Wang, Weican

doi:10.1007/s12652-020-01993-1

Cited by 5 publications

(2 citation statements)

References 26 publications

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“…By adjusting the fractional order, the robustness and invisibility of digital media can be enhanced. In addition, in the boundary judgment algorithm, the fractional order can be used as a key to enhance the security of digital media [13].…”

Section: Related Workmentioning

confidence: 99%

Application of Image Color Gamut Boundary Judgment Algorithm in Digital Media

2022

Wireless Communications and Mobile Computing

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Image chromatic aberration evaluation is one of the research hotspots and academic difficulties in the field of color science and imaging technology. Based on the algorithm theory of image color gamut boundary judgment, this paper constructs its application model in digital media. The model uses the threshold color difference image as a reference and applies it to the evaluation experiment of color difference above the threshold based on the quantitative estimation method. During the simulation process, the improved HAD dual-color image digital boundary judgment algorithm is programmed. For small color difference data at the threshold level, the calculated color difference of the boundary judgment algorithm framework is smaller than the visual perception color difference; for the large color difference data above the threshold, the boundary judgment algorithm framework is given. The research results of the threshold color difference experiment show that the perceptible color difference threshold and acceptable color difference threshold of image color gamut observers for image color difference are 1.85 AE and 3.63 AE, respectively, which are basically twice the relationship. The visually perceptible chromatic aberration threshold and acceptable chromatic aberration threshold for lightness parameters are higher than those of chroma and hue, which shows that the boundary judgment algorithm framework has certain advantages for the evaluation performance of color digital image threshold chromatic aberration and effectively improves the algorithm robustness.

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Section: Related Workmentioning

confidence: 99%

Application of Image Color Gamut Boundary Judgment Algorithm in Digital Media

2022

Wireless Communications and Mobile Computing

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“…This field can be classified depending on the characteristics or objectives that imply such recognition. Depending on the part of the body that is being recognized, you can differentiate between hand [4], body [5] and face [6]. However, if the recognition involves a movement then it will be dynamic whereas if it is a pose the gesture will be static [7].…”

Section: Introductionmentioning

confidence: 99%

A Survey on Intelligent Gesture Recognition Techniques

et al. 2022

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Gesture recognition is an ideal means of interaction because it allows users not to have to make contact with any surface, which is a safe and hygienic means, especially in the pandemic situation that is occurring worldwide. However, gesture recognition is not a new discipline and it has been researched for many years but this type of interaction has not succeeded in replacing the keyboard and mouse. It is very useful to know about the advances that are being made with artificial intelligence in gesture recognition to be able to perform a more robust and reliable gesture recognition with a low response time. As it is, deep learning is being integrated into various areas to increase improvement in performance and one such area is artificial intelligence. In this way, there is the possibility that in the future the recognition of gestures will be a viable option as a means of daily interaction for the user and the main objective of this paper is to contribute to that process. For this reason, this study has analyzed 571 papers related to gesture recognition and artificial intelligence. This analysis has extracted relevant information related to scientific production, such as the most productive authors and journals or the most pertinent articles on the subject. Furthermore, we have developed our own model, which shows the relationship between the types of gesture recognition and the artificial intelligence techniques that have been applied for this task.

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