Survey on Style in 3D Human Body Motion: Taxonomy, Data, Recognition and Its Applications

Ribet, Sarah; Wannous, Hazem; Vandeborre, Jean-Philippe

doi:10.1109/taffc.2019.2906167

Cited by 13 publications

(10 citation statements)

References 63 publications

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“…There is now a growing interest in approaches based on machine learning and more specifically on deep learning that relies on data to automatize this process. These approaches are powerful and strongly improve the recognition rates [14], [36], [37], [38]. In computer graphics, machine learning approaches are able to produce realistic animations [39], [40], and to automatically transfer an expression from one gesture to another [41], [42], [43].…”

Section: Expressing Emotion Through Body Motionmentioning

confidence: 99%

Emotion Expression in Human Body Posture and Movement: A Survey on Intelligible Motion Factors, Quantification and Validation

Mahfoudi

Meyer

Gaudin³

et al. 2023

IEEE Trans. Affective Comput.

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Many areas in computer science are facing the need to analyze, quantify and reproduce movements expressing emotions. This paper presents a systematic review of the intelligible factors involved in the expression of emotions in human movement and posture. We have gathered the works that have studied and tried to identify these factors by sweeping many disciplinary fields such as psychology, biomechanics, choreography, robotics and computer vision. These researches have each used their own definitions, units and emotions, which prevents a global and coherent vision. We propose a meta-analysis approach that cross-references and aggregates these researches in order to have a unified list of expressive factors quantified for each emotion. A calculation method is then proposed for each of the expressive factors and we extract them from an emotionally annotated animation dataset: Emilya. The comparison between the results of the meta-analysis and the Emilya analysis reveals high correlation rates, which validates the relevance of the quantified values obtained by both methodologies. The analysis of the results raises interesting perspectives for future research in affective computing.

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Section: Expressing Emotion Through Body Motionmentioning

confidence: 99%

Emotion Expression in Human Body Posture and Movement: A Survey on Intelligible Motion Factors, Quantification and Validation

Mahfoudi

Meyer

Gaudin³

et al. 2023

IEEE Trans. Affective Comput.

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“…However, given the number of ‘technical’ components that are involved in the creation of such VHs, we chose in this survey to focus on the components related to the animation of the VHs. This choice enables us to provide a comprehensive review within a tractable space, while simultaneously providing insights that complement the other relevant reviews dedicated to VH motion mentioned above [VWVBE*10, GPEO11,RPA*15, CRPPD17,RWV19,MHLC*22,KAK*22]. We propose a narrative review, where the literature search was mainly performed using google scholar database.…”

Section: Introductionmentioning

confidence: 99%

A Survey on Realistic Virtual Human Animations: Definitions, Features and Evaluations

Rekik,

Wuhrer,

Hoyet

et al. 2024

Computer Graphics Forum

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Generating realistic animated virtual humans is a problem that has been extensively studied with many applications in different types of virtual environments. However, the creation process of such realistic animations is challenging, especially because of the number and variety of influencing factors, that should then be identified and evaluated. In this paper, we attempt to provide a clearer understanding of how the multiple factors that have been studied in the literature impact the level of realism of animated virtual humans, by providing a survey of studies assessing their realism. This includes a review of features that have been manipulated to increase the realism of virtual humans, as well as evaluation approaches that have been developed. As the challenges of evaluating animated virtual humans in a way that agrees with human perception are still active research problems, this survey further identifies important open problems and directions for future research.

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“…In the field of animation creation, the use of computer software for design is a relatively common method. Still, this process requires relevant experts to integrate the knowledge of different structures and data so as to complete the final creation and the formation of computer animation design software [12][13][14]. In reality, the limited number of talents with certain professional standards and artistic attainments has led to China's stagnation in the field of animation design, seriously lagging behind European and American countries.…”

Section: Introductionmentioning

confidence: 99%

3D Communication of Animated Character Image Visualization Based on Digital Media Perspectives

Huang,

Chen

2024

Applied Mathematics and Nonlinear Sciences

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In this study, we initiate the process by pre-processing the character image data and establishing coordinate axes. Utilizing the parallax principle, we construct a three-dimensional model of the animated character image and design a multidimensional, time-sequential visualization scheme based on clustering techniques. To enhance the effectiveness of cluster visualization, we incorporate color and transparency into the model and develop a three-dimensional communication framework to facilitate user interaction and improve animated image visualization. Subsequently, we evaluate the advantages and feasibility of this three-dimensional communication approach, focusing on user experience and user engagement. We also explore the visual perception capabilities of this method against contrasting background colors of light and dark. The findings demonstrate a credible expression of animated video images, with a credibility index of 4.690. Additionally, user perception is quantified at an average of 4.895, which not only exceeds the four-point benchmark but also outperforms alternative methods. This research offers a substantial reference for the advancement of visual communication studies concerning animated character images.

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Survey on Style in 3D Human Body Motion: Taxonomy, Data, Recognition and Its Applications

Cited by 13 publications

References 63 publications

Emotion Expression in Human Body Posture and Movement: A Survey on Intelligible Motion Factors, Quantification and Validation

Emotion Expression in Human Body Posture and Movement: A Survey on Intelligible Motion Factors, Quantification and Validation

A Survey on Realistic Virtual Human Animations: Definitions, Features and Evaluations

3D Communication of Animated Character Image Visualization Based on Digital Media Perspectives

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