Animating with style: defining expressive semantics of motion

Förger, Klaus; Takala, Tapio

doi:10.1007/s00371-015-1064-4

Cited by 6 publications

(3 citation statements)

References 22 publications

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“…in order to modify the expression of animations. Recently, with the same goal of synthesis expressive animations, Forger and Takala [8] proposed an approach based on the motion signals by using frequency components.…”

Section: Related Workmentioning

confidence: 99%

“…Our motivation was to propose an efficient recognition method of body expressions on heterogeneous movements that rivals state of the art and in real time on a standard computer. Following the foot prints of several previous works [18,24,8], we propose a set of novel descriptors based on geometry, motion and frequency-based of body part joints. The overview of our approach is given in Figure 1 and in the following three steps.…”

Section: Proposed Frameworkmentioning

confidence: 99%

See 1 more Smart Citation

Body expression recognition from animated 3D skeleton

Crenn

Khan

Meyer

et al. 2016

2016 International Conference on 3D Imaging (IC3D)

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We present a novel and generic framework for the recognition of body expressions using human postures. Motivated by the state of the art from the domain of psychology, our approach recognizes expression by analyzing sequence of pose. Features proposed in this article are computationally simple and intuitive to understand. They are based on visual cues and provide in-depth understanding of body postures required to recognize body expressions. We have evaluated our approach on different databases with heterogeneous movements and body expressions. Our recognition results exceeds state of the art for some database and for others we obtain results at par with state of the art.

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Section: Related Workmentioning

confidence: 99%

Section: Proposed Frameworkmentioning

confidence: 99%

Body expression recognition from animated 3D skeleton

Crenn

Khan

Meyer

et al. 2016

2016 International Conference on 3D Imaging (IC3D)

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“…Recently, Förger and Takala [10] proposed a method for motion interpolation using verbal expressions and applied it to walking motion. Unlike our method, instead of verbal expression input, they used motion features that are computed from example motions and are associated with the verbal expressions as motion interpolation parameters.…”

Section: Related Workmentioning

confidence: 99%

Motion Interpolation Using Adjectives and Motion Features

Oshita

Honda

Katsurada

et al. 2017

The Journal of the Society for Art and Science

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In this paper, we propose a motion interpolation method using parameters based on adjectives. We conducted a questionnaire experiment in which subjects were asked to evaluate 10 example walking motions using 41 pairs of adjectives. Based on the results, 27 pairs of adjectives that are effective for motion parameterization were selected and four primary parameters were determined by categorizing the adjectives. Our motion interpolation method allows the user to create various styles of motions using the four primary parameters and any combination of the additional 27 adjective pairs. We also conducted a questionnaire experiment on another motion set of 27 walking motions and obtained the same four primary parameters and 29 adjective pairs. These results show that our method and the four primary parameters can be generalized for walking motions. In addition, our approach was applied to motion features that are computed example motions without any questionnaire experiment and obtained the primary and additional motion feature parameters for motion interpolation. This realizes motion interpolation using parameters based on motion features. The user of our system can choose adjective or motion feature parameters to create a motion depending on the type of motion that he or she wants to create. We present the results of our experiments and demonstrate the advantages of our method.

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A Motion Style Toolbox

Förger

Takala

2015

Intelligent Virtual Agents

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Animating with style: defining expressive semantics of motion

Cited by 6 publications

References 22 publications

Body expression recognition from animated 3D skeleton

Body expression recognition from animated 3D skeleton

Motion Interpolation Using Adjectives and Motion Features

A Motion Style Toolbox

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