Live soundscape composition based on synthetic emotions

Waßermann, Klaus; Eng, Kynan; Verschure, Paul F. M. J.; Manzolli, Jônatas

doi:10.1109/mmul.2003.1237553

Cited by 50 publications

(15 citation statements)

References 10 publications

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“…Continuous modelling of an affective response utilising dimensional models of emotion have been employed in emotion synthesis and visualisation, including "blended" facial expressions [2], and considerations of moods and temperaments in virtual agents [16,11,6]. Wassermann et al [45] describe an interactive art installation that utilises a model of affect that combines both discrete emotions with a dimensional model of mood.…”

Section: Continuous Interpretation Of Affectmentioning

confidence: 99%

PAD-based multimodal affective fusion

Gilroy

Cavazza

Niiranen

et al. 2009

2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops

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The study of multimodality is comparatively less developed for Affective interfaces than for their traditional counterparts. However, one condition for the successful development of Affective interface technologies is the development of frameworks for the real-time multimodal fusion. In this paper, we describe an approach to multimodal affective fusion, which relies on a dimensional model, PleasureArousal-Dominance (PAD) to support the fusion of affective modalities, each input modality being represented as a PAD vector. We describe how this model supports both affective content fusion and temporal fusion within a unified approach. We report results from early user studies which confirm the existence of a correlation between measured affective input and user temperament scores.

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Section: Continuous Interpretation Of Affectmentioning

confidence: 99%

PAD-based multimodal affective fusion

Gilroy

Cavazza

Niiranen

et al. 2009

2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops

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“…Vision techniques can be used to allow audience participation [54] and influence a performance. In [55], the authors use multiple modalities (video, audio, pressure sensors) to output different "emotional states" for Ada, an intelligent space that responds to multimodal input from its visitors. In [56], a wearable camera pointing at the wearer's mouth interprets mouth gestures to generate MIDI sounds (so a musician can play other instruments while generating sounds by moving his mouth).…”

Section: Artmentioning

confidence: 99%

Human-centered computing

Jaimes¹,

Sebe

Gática-Pérez

2006

Proceedings of the 14th ACM International Conference on Multimedia

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Human-Centered Computing (HCC) is a set of methodologies that apply to any field that uses computers, in any form, in applications in which humans directly interact with devices or systems that use computer technologies. In this paper, we give an overview of HCC from a Multimedia perspective. We describe what we consider to be the three main areas of Human-Centered Multimedia (HCM): media production, analysis, and interaction. In addition, we identify the core characteristics of HCM, describe example applications, and propose a research agenda for HCM.

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“…characterization of environment by typical sounds it contains) there is research in sound parameterization of various animal species which improves speech recognition [11]. There is also research in various specific applications of knowledge of relevant objective and subjective parameters of soundscape in artificial sound synthesis for consumer electronics and robotics [12][13][14][15][16][17] or as a tool for the visually impaired [18].…”

Section: Introductionmentioning

confidence: 99%