Personalised real-time idle motion synthesis

Egges, Arjan; Molet, Tom

doi:10.1109/pccga.2004.1348342

Cited by 44 publications

(51 citation statements)

References 20 publications

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“…al. [8] provided a statistical framework for adding small posture variation in idle motion for virtual characters. Cassell et al [9] analyzed the frequency of body motion along with discourse structure and simulated body turns based on these statistical observations.…”

Section: Literaturementioning

confidence: 99%

“…Previous works has designed models to add idle body motion [8], posture turns [9] based on statistical analysis , or add lower body motion using rule-based and statistical models [10]. We are trying to support and advance this research by providing a perceptually basis, ultimately pushing body motion to a more expressive level that includes different kinds of body motion variations.…”

Section: Introductionmentioning

confidence: 99%

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A Perceptual Study of the Relationship between Posture and Gesture for Virtual Characters

Luo

Neff

2012

Motion in Games

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Abstract. Adding expressive body motions that synchronizes with gestures appropriately is a key element in creating a lively, intelligent virtual character. However, little is known about the relationship between body motions and gestures or how sensitive humans are to the errors generated by desynchronized gesture and body motion. In this paper, we investigated the motion splicing technique used for aligning body motion and studied people's sensitivity to desynchronized body motions through two experiments. The first experiment is designed to see whether audio will affect people's sensitivity to desynchronization errors and explore the role of Posture-Gesture Mergers in the transferability of body motion. A motion distance metric for measuring the distance between stylistically varied body motions is proposed and evaluated in a second experiment. The experiments revealed that audio does not affect the recognition rate, but the presence of posture gesture mergers in the source motion lowers output quality, and people's sensitivity to motion realism is related to an energy distance metric.

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Section: Literaturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Perceptual Study of the Relationship between Posture and Gesture for Virtual Characters

Luo

Neff

2012

Motion in Games

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“…A system for real-time virtual human idle motion synthesis for the body is proposed (Egges et al, 2004). This is based on motion capture (i.e.…”

Section: Third Generationmentioning

confidence: 99%

Human Figure Animation: A Historical Perspective

Chrysanthou¹,

Loizides²

2008

ECMS 2008 Proceedings Edited By: L. S. Louca, Y. Chrysanthou, Z. Oplatkova, K. Al-Begain

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Computer Animation, has advanced significantly as well as spectacularly over the last two-to-three decades. The interesting field has innovated tremendously moving from first-generation i.e. purely geometric models where motion was developed using kinematic techniques, to secondgeneration i.e. physical-based models (direct versus inverse dynamics and hybrid systems), towards the development of the third-generation i.e. autonomous behaviour through learning and perception. The simulation and animation of a variety of real-world objects appear with stunning realism. However, the main issue here is not on what we have achieved but rather, based on what we have achieved, what is to follow. The emerging results are expected immensely by researchers in the field, worldwide. The paper delivers a survey on human figure animation and in particular a classification framework of the work done on the control of locomotion.

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“…Recently, Mukai and Kuriyama [28] improved the interpolation function construction described in [34] by defining a specific kernel function for each input motion according to its characteristics. Other approaches based on statistical methods using PCA (principal component analysis) [10,11] produce parameterized motion in a very efficient way, by computing them in a lowdimensional space.…”

Section: Motion Blendingmentioning

confidence: 99%

Dynamic obstacle avoidance for real-time character animation

2006

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This paper proposes a novel method to control virtual characters in dynamic environments. A virtual character is animated by a locomotion and jumping engine, enabling production of continuous parameterized motions. At any time during runtime, flat obstacles (e.g. a puddle of water) can be created and placed in front of a character. The method first decides whether the character is able to get around or jump over the obstacle. Then the motion parameters are accordingly modified. The transition from locomotion to jump is performed with an improved motion blending technique. While traditional blending approaches let the user choose the transition time and duration manually, our approach automatically controls transitions between motion patterns whose parameters are not known in advance. In addition, according to the animation context, blending operations are executed during a precise period of time to preserve specific physical properties. This ensures coherent movements over the parameter space of the original input motions. The initial locomotion type and speed are smoothly varied with respect to the required jump type and length. This variation is carefully computed in order to place the take-off foot as close to the created obstacle as possible.

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Personalised real-time idle motion synthesis

Abstract: In

Cited by 44 publications

References 20 publications

A Perceptual Study of the Relationship between Posture and Gesture for Virtual Characters

A Perceptual Study of the Relationship between Posture and Gesture for Virtual Characters

Human Figure Animation: A Historical Perspective

Dynamic obstacle avoidance for real-time character animation

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