Emotion Analysis and Classification: Understanding the Performers' Emotions Using the LMA Entities
The increasing availability of large motion databases, in addition to advancements in motion synthesis, has made motion indexing and classification essential for better motion composition. However, in order to achieve good connectivity in motion graphs, it is important to understand human behaviour;...
Ausführliche Beschreibung
Autor*in: |
Aristidou, Andreas [verfasserIn] |
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Format: |
Artikel |
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Sprache: |
Englisch |
Erschienen: |
2015 |
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Rechteinformationen: |
Nutzungsrecht: 2015 The Authors Computer Graphics Forum © 2015 The Eurographics Association and John Wiley & Sons Ltd. © COPYRIGHT 2015 Blackwell Publishers Ltd. |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Computer graphics forum - Oxford : Blackwell, 1982, 34(2015), 6, Seite 262-276 |
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Übergeordnetes Werk: |
volume:34 ; year:2015 ; number:6 ; pages:262-276 |
Links: |
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DOI / URN: |
10.1111/cgf.12598 |
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OLC1956511369 |
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650 | 4 | |a motion capture | |
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650 | 4 | |a motion analysis | |
650 | 4 | |a emotion classification | |
650 | 4 | |a behavioural animation | |
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650 | 4 | |a Digital video | |
650 | 4 | |a Movement | |
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650 | 4 | |a Analysis | |
650 | 4 | |a Dancing | |
650 | 4 | |a Human behavior | |
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10.1111/cgf.12598 doi PQ20160617 (DE-627)OLC1956511369 (DE-599)GBVOLC1956511369 (PRQ)g2038-7eabd6930bac1bc6bcc23a3d87d5629f80a8bd4634f765c6b1c617e34128139d0 (KEY)0120587020150000034000600262emotionanalysisandclassificationunderstandingthepe DE-627 ger DE-627 rakwb eng 004 DNB 54.00 bkl Aristidou, Andreas verfasserin aut Emotion Analysis and Classification: Understanding the Performers' Emotions Using the LMA Entities 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The increasing availability of large motion databases, in addition to advancements in motion synthesis, has made motion indexing and classification essential for better motion composition. However, in order to achieve good connectivity in motion graphs, it is important to understand human behaviour; human movement though is complex and difficult to completely describe. In this paper, we investigate the similarities between various emotional states with regards to the arousal and valence of the Russell's circumplex model. We use a variety of features that encode, in addition to the raw geometry, stylistic characteristics of motion based on Laban Movement Analysis (LMA). Motion capture data from acted dance performances were used for training and classification purposes. The experimental results show that the proposed features can partially extract the LMA components, providing a representative space for indexing and classification of dance movements with regards to the emotion. This work contributes to the understanding of human behaviour and actions, providing insights on how people express emotional states using their body, while the proposed features can be used as complement to the standard motion similarity, synthesis and classification methods. The increasing availability of large motion databases, in addition to advancements in motion synthesis, has made motion indexing and classification essential for better motion composition. However, in order to achieve good connectivity in motion graphs, it is important to understand human behaviour; human movement though is complex and difficult to completely describe. In this paper, we investigate the similarities between various emotional states with regards to the arousal and valence of the Russell's circumplex model. We use a variety of features that encode, in addition to the raw geometry, stylistic characteristics of motion based on Laban Movement Analysis (LMA). Nutzungsrecht: 2015 The Authors Computer Graphics Forum © 2015 The Eurographics Association and John Wiley & Sons Ltd. © COPYRIGHT 2015 Blackwell Publishers Ltd. motion capture I.3.7 Three‐Dimensional Graphics and Realism: Animation motion analysis emotion classification behavioural animation Studies Digital video Movement Image processing systems Analysis Dancing Human behavior Human acts Indexing Charalambous, Panayiotis oth Chrysanthou, Yiorgos oth Enthalten in Computer graphics forum Oxford : Blackwell, 1982 34(2015), 6, Seite 262-276 (DE-627)129621536 (DE-600)246488-3 (DE-576)015130568 0167-7055 nnns volume:34 year:2015 number:6 pages:262-276 http://dx.doi.org/10.1111/cgf.12598 Volltext http://onlinelibrary.wiley.com/doi/10.1111/cgf.12598/abstract http://search.proquest.com/docview/1715450637 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-MAT SSG-OLC-GWK SSG-OLC-PHA SSG-OLC-DE-84 54.00 AVZ AR 34 2015 6 262-276 |
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10.1111/cgf.12598 doi PQ20160617 (DE-627)OLC1956511369 (DE-599)GBVOLC1956511369 (PRQ)g2038-7eabd6930bac1bc6bcc23a3d87d5629f80a8bd4634f765c6b1c617e34128139d0 (KEY)0120587020150000034000600262emotionanalysisandclassificationunderstandingthepe DE-627 ger DE-627 rakwb eng 004 DNB 54.00 bkl Aristidou, Andreas verfasserin aut Emotion Analysis and Classification: Understanding the Performers' Emotions Using the LMA Entities 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The increasing availability of large motion databases, in addition to advancements in motion synthesis, has made motion indexing and classification essential for better motion composition. However, in order to achieve good connectivity in motion graphs, it is important to understand human behaviour; human movement though is complex and difficult to completely describe. In this paper, we investigate the similarities between various emotional states with regards to the arousal and valence of the Russell's circumplex model. We use a variety of features that encode, in addition to the raw geometry, stylistic characteristics of motion based on Laban Movement Analysis (LMA). Motion capture data from acted dance performances were used for training and classification purposes. The experimental results show that the proposed features can partially extract the LMA components, providing a representative space for indexing and classification of dance movements with regards to the emotion. This work contributes to the understanding of human behaviour and actions, providing insights on how people express emotional states using their body, while the proposed features can be used as complement to the standard motion similarity, synthesis and classification methods. The increasing availability of large motion databases, in addition to advancements in motion synthesis, has made motion indexing and classification essential for better motion composition. However, in order to achieve good connectivity in motion graphs, it is important to understand human behaviour; human movement though is complex and difficult to completely describe. In this paper, we investigate the similarities between various emotional states with regards to the arousal and valence of the Russell's circumplex model. We use a variety of features that encode, in addition to the raw geometry, stylistic characteristics of motion based on Laban Movement Analysis (LMA). Nutzungsrecht: 2015 The Authors Computer Graphics Forum © 2015 The Eurographics Association and John Wiley & Sons Ltd. © COPYRIGHT 2015 Blackwell Publishers Ltd. motion capture I.3.7 Three‐Dimensional Graphics and Realism: Animation motion analysis emotion classification behavioural animation Studies Digital video Movement Image processing systems Analysis Dancing Human behavior Human acts Indexing Charalambous, Panayiotis oth Chrysanthou, Yiorgos oth Enthalten in Computer graphics forum Oxford : Blackwell, 1982 34(2015), 6, Seite 262-276 (DE-627)129621536 (DE-600)246488-3 (DE-576)015130568 0167-7055 nnns volume:34 year:2015 number:6 pages:262-276 http://dx.doi.org/10.1111/cgf.12598 Volltext http://onlinelibrary.wiley.com/doi/10.1111/cgf.12598/abstract http://search.proquest.com/docview/1715450637 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-MAT SSG-OLC-GWK SSG-OLC-PHA SSG-OLC-DE-84 54.00 AVZ AR 34 2015 6 262-276 |
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10.1111/cgf.12598 doi PQ20160617 (DE-627)OLC1956511369 (DE-599)GBVOLC1956511369 (PRQ)g2038-7eabd6930bac1bc6bcc23a3d87d5629f80a8bd4634f765c6b1c617e34128139d0 (KEY)0120587020150000034000600262emotionanalysisandclassificationunderstandingthepe DE-627 ger DE-627 rakwb eng 004 DNB 54.00 bkl Aristidou, Andreas verfasserin aut Emotion Analysis and Classification: Understanding the Performers' Emotions Using the LMA Entities 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The increasing availability of large motion databases, in addition to advancements in motion synthesis, has made motion indexing and classification essential for better motion composition. However, in order to achieve good connectivity in motion graphs, it is important to understand human behaviour; human movement though is complex and difficult to completely describe. In this paper, we investigate the similarities between various emotional states with regards to the arousal and valence of the Russell's circumplex model. We use a variety of features that encode, in addition to the raw geometry, stylistic characteristics of motion based on Laban Movement Analysis (LMA). Motion capture data from acted dance performances were used for training and classification purposes. The experimental results show that the proposed features can partially extract the LMA components, providing a representative space for indexing and classification of dance movements with regards to the emotion. This work contributes to the understanding of human behaviour and actions, providing insights on how people express emotional states using their body, while the proposed features can be used as complement to the standard motion similarity, synthesis and classification methods. The increasing availability of large motion databases, in addition to advancements in motion synthesis, has made motion indexing and classification essential for better motion composition. However, in order to achieve good connectivity in motion graphs, it is important to understand human behaviour; human movement though is complex and difficult to completely describe. In this paper, we investigate the similarities between various emotional states with regards to the arousal and valence of the Russell's circumplex model. We use a variety of features that encode, in addition to the raw geometry, stylistic characteristics of motion based on Laban Movement Analysis (LMA). Nutzungsrecht: 2015 The Authors Computer Graphics Forum © 2015 The Eurographics Association and John Wiley & Sons Ltd. © COPYRIGHT 2015 Blackwell Publishers Ltd. motion capture I.3.7 Three‐Dimensional Graphics and Realism: Animation motion analysis emotion classification behavioural animation Studies Digital video Movement Image processing systems Analysis Dancing Human behavior Human acts Indexing Charalambous, Panayiotis oth Chrysanthou, Yiorgos oth Enthalten in Computer graphics forum Oxford : Blackwell, 1982 34(2015), 6, Seite 262-276 (DE-627)129621536 (DE-600)246488-3 (DE-576)015130568 0167-7055 nnns volume:34 year:2015 number:6 pages:262-276 http://dx.doi.org/10.1111/cgf.12598 Volltext http://onlinelibrary.wiley.com/doi/10.1111/cgf.12598/abstract http://search.proquest.com/docview/1715450637 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-MAT SSG-OLC-GWK SSG-OLC-PHA SSG-OLC-DE-84 54.00 AVZ AR 34 2015 6 262-276 |
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10.1111/cgf.12598 doi PQ20160617 (DE-627)OLC1956511369 (DE-599)GBVOLC1956511369 (PRQ)g2038-7eabd6930bac1bc6bcc23a3d87d5629f80a8bd4634f765c6b1c617e34128139d0 (KEY)0120587020150000034000600262emotionanalysisandclassificationunderstandingthepe DE-627 ger DE-627 rakwb eng 004 DNB 54.00 bkl Aristidou, Andreas verfasserin aut Emotion Analysis and Classification: Understanding the Performers' Emotions Using the LMA Entities 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The increasing availability of large motion databases, in addition to advancements in motion synthesis, has made motion indexing and classification essential for better motion composition. However, in order to achieve good connectivity in motion graphs, it is important to understand human behaviour; human movement though is complex and difficult to completely describe. In this paper, we investigate the similarities between various emotional states with regards to the arousal and valence of the Russell's circumplex model. We use a variety of features that encode, in addition to the raw geometry, stylistic characteristics of motion based on Laban Movement Analysis (LMA). Motion capture data from acted dance performances were used for training and classification purposes. The experimental results show that the proposed features can partially extract the LMA components, providing a representative space for indexing and classification of dance movements with regards to the emotion. This work contributes to the understanding of human behaviour and actions, providing insights on how people express emotional states using their body, while the proposed features can be used as complement to the standard motion similarity, synthesis and classification methods. The increasing availability of large motion databases, in addition to advancements in motion synthesis, has made motion indexing and classification essential for better motion composition. However, in order to achieve good connectivity in motion graphs, it is important to understand human behaviour; human movement though is complex and difficult to completely describe. In this paper, we investigate the similarities between various emotional states with regards to the arousal and valence of the Russell's circumplex model. We use a variety of features that encode, in addition to the raw geometry, stylistic characteristics of motion based on Laban Movement Analysis (LMA). Nutzungsrecht: 2015 The Authors Computer Graphics Forum © 2015 The Eurographics Association and John Wiley & Sons Ltd. © COPYRIGHT 2015 Blackwell Publishers Ltd. motion capture I.3.7 Three‐Dimensional Graphics and Realism: Animation motion analysis emotion classification behavioural animation Studies Digital video Movement Image processing systems Analysis Dancing Human behavior Human acts Indexing Charalambous, Panayiotis oth Chrysanthou, Yiorgos oth Enthalten in Computer graphics forum Oxford : Blackwell, 1982 34(2015), 6, Seite 262-276 (DE-627)129621536 (DE-600)246488-3 (DE-576)015130568 0167-7055 nnns volume:34 year:2015 number:6 pages:262-276 http://dx.doi.org/10.1111/cgf.12598 Volltext http://onlinelibrary.wiley.com/doi/10.1111/cgf.12598/abstract http://search.proquest.com/docview/1715450637 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-MAT SSG-OLC-GWK SSG-OLC-PHA SSG-OLC-DE-84 54.00 AVZ AR 34 2015 6 262-276 |
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10.1111/cgf.12598 doi PQ20160617 (DE-627)OLC1956511369 (DE-599)GBVOLC1956511369 (PRQ)g2038-7eabd6930bac1bc6bcc23a3d87d5629f80a8bd4634f765c6b1c617e34128139d0 (KEY)0120587020150000034000600262emotionanalysisandclassificationunderstandingthepe DE-627 ger DE-627 rakwb eng 004 DNB 54.00 bkl Aristidou, Andreas verfasserin aut Emotion Analysis and Classification: Understanding the Performers' Emotions Using the LMA Entities 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The increasing availability of large motion databases, in addition to advancements in motion synthesis, has made motion indexing and classification essential for better motion composition. However, in order to achieve good connectivity in motion graphs, it is important to understand human behaviour; human movement though is complex and difficult to completely describe. In this paper, we investigate the similarities between various emotional states with regards to the arousal and valence of the Russell's circumplex model. We use a variety of features that encode, in addition to the raw geometry, stylistic characteristics of motion based on Laban Movement Analysis (LMA). Motion capture data from acted dance performances were used for training and classification purposes. The experimental results show that the proposed features can partially extract the LMA components, providing a representative space for indexing and classification of dance movements with regards to the emotion. This work contributes to the understanding of human behaviour and actions, providing insights on how people express emotional states using their body, while the proposed features can be used as complement to the standard motion similarity, synthesis and classification methods. The increasing availability of large motion databases, in addition to advancements in motion synthesis, has made motion indexing and classification essential for better motion composition. However, in order to achieve good connectivity in motion graphs, it is important to understand human behaviour; human movement though is complex and difficult to completely describe. In this paper, we investigate the similarities between various emotional states with regards to the arousal and valence of the Russell's circumplex model. We use a variety of features that encode, in addition to the raw geometry, stylistic characteristics of motion based on Laban Movement Analysis (LMA). Nutzungsrecht: 2015 The Authors Computer Graphics Forum © 2015 The Eurographics Association and John Wiley & Sons Ltd. © COPYRIGHT 2015 Blackwell Publishers Ltd. motion capture I.3.7 Three‐Dimensional Graphics and Realism: Animation motion analysis emotion classification behavioural animation Studies Digital video Movement Image processing systems Analysis Dancing Human behavior Human acts Indexing Charalambous, Panayiotis oth Chrysanthou, Yiorgos oth Enthalten in Computer graphics forum Oxford : Blackwell, 1982 34(2015), 6, Seite 262-276 (DE-627)129621536 (DE-600)246488-3 (DE-576)015130568 0167-7055 nnns volume:34 year:2015 number:6 pages:262-276 http://dx.doi.org/10.1111/cgf.12598 Volltext http://onlinelibrary.wiley.com/doi/10.1111/cgf.12598/abstract http://search.proquest.com/docview/1715450637 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-MAT SSG-OLC-GWK SSG-OLC-PHA SSG-OLC-DE-84 54.00 AVZ AR 34 2015 6 262-276 |
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The increasing availability of large motion databases, in addition to advancements in motion synthesis, has made motion indexing and classification essential for better motion composition. However, in order to achieve good connectivity in motion graphs, it is important to understand human behaviour; human movement though is complex and difficult to completely describe. In this paper, we investigate the similarities between various emotional states with regards to the arousal and valence of the Russell's circumplex model. We use a variety of features that encode, in addition to the raw geometry, stylistic characteristics of motion based on Laban Movement Analysis (LMA). Motion capture data from acted dance performances were used for training and classification purposes. The experimental results show that the proposed features can partially extract the LMA components, providing a representative space for indexing and classification of dance movements with regards to the emotion. This work contributes to the understanding of human behaviour and actions, providing insights on how people express emotional states using their body, while the proposed features can be used as complement to the standard motion similarity, synthesis and classification methods. The increasing availability of large motion databases, in addition to advancements in motion synthesis, has made motion indexing and classification essential for better motion composition. However, in order to achieve good connectivity in motion graphs, it is important to understand human behaviour; human movement though is complex and difficult to completely describe. In this paper, we investigate the similarities between various emotional states with regards to the arousal and valence of the Russell's circumplex model. We use a variety of features that encode, in addition to the raw geometry, stylistic characteristics of motion based on Laban Movement Analysis (LMA). |
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The increasing availability of large motion databases, in addition to advancements in motion synthesis, has made motion indexing and classification essential for better motion composition. However, in order to achieve good connectivity in motion graphs, it is important to understand human behaviour; human movement though is complex and difficult to completely describe. In this paper, we investigate the similarities between various emotional states with regards to the arousal and valence of the Russell's circumplex model. We use a variety of features that encode, in addition to the raw geometry, stylistic characteristics of motion based on Laban Movement Analysis (LMA). Motion capture data from acted dance performances were used for training and classification purposes. The experimental results show that the proposed features can partially extract the LMA components, providing a representative space for indexing and classification of dance movements with regards to the emotion. This work contributes to the understanding of human behaviour and actions, providing insights on how people express emotional states using their body, while the proposed features can be used as complement to the standard motion similarity, synthesis and classification methods. The increasing availability of large motion databases, in addition to advancements in motion synthesis, has made motion indexing and classification essential for better motion composition. However, in order to achieve good connectivity in motion graphs, it is important to understand human behaviour; human movement though is complex and difficult to completely describe. In this paper, we investigate the similarities between various emotional states with regards to the arousal and valence of the Russell's circumplex model. We use a variety of features that encode, in addition to the raw geometry, stylistic characteristics of motion based on Laban Movement Analysis (LMA). |
abstract_unstemmed |
The increasing availability of large motion databases, in addition to advancements in motion synthesis, has made motion indexing and classification essential for better motion composition. However, in order to achieve good connectivity in motion graphs, it is important to understand human behaviour; human movement though is complex and difficult to completely describe. In this paper, we investigate the similarities between various emotional states with regards to the arousal and valence of the Russell's circumplex model. We use a variety of features that encode, in addition to the raw geometry, stylistic characteristics of motion based on Laban Movement Analysis (LMA). Motion capture data from acted dance performances were used for training and classification purposes. The experimental results show that the proposed features can partially extract the LMA components, providing a representative space for indexing and classification of dance movements with regards to the emotion. This work contributes to the understanding of human behaviour and actions, providing insights on how people express emotional states using their body, while the proposed features can be used as complement to the standard motion similarity, synthesis and classification methods. The increasing availability of large motion databases, in addition to advancements in motion synthesis, has made motion indexing and classification essential for better motion composition. However, in order to achieve good connectivity in motion graphs, it is important to understand human behaviour; human movement though is complex and difficult to completely describe. In this paper, we investigate the similarities between various emotional states with regards to the arousal and valence of the Russell's circumplex model. We use a variety of features that encode, in addition to the raw geometry, stylistic characteristics of motion based on Laban Movement Analysis (LMA). |
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