3-D emotion space for interactive communication

Kawakami, Fumio; Ohkura, Motohiro; Yamada, Hiroshi; Harashima, Hiroshi; Morishima, Shigeo

doi:10.1007/3-540-60697-1_136

Cited by 4 publications

(3 citation statements)

References 1 publication

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“…The approaches that have been explored lately also include systems for automatic analysis and synthesis of facial expressions [86], [56], [39], [47], [89], [88], [53], [14], [19] (for a broader list of references see [87]). Although the image analysis techniques in these systems are relevant to the present goals, the systems themselves are of limited use for behavioral science investigations of the face and for multimodal/media HCI.…”

Section: Automatic Facial Expression Analysismentioning

confidence: 99%

Automatic analysis of facial expressions: the state of the art

Pantić

Rothkrantz

2000

IEEE Trans. Pattern Anal. Machine Intell.

1,443

538

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ÐHumans detect and interpret faces and facial expressions in a scene with little or no effort. Still, development of an automated system that accomplishes this task is rather difficult. There are several related problems: detection of an image segment as a face, extraction of the facial expression information, and classification of the expression (e.g., in emotion categories). A system that performs these operations accurately and in real time would form a big step in achieving a human-like interaction between man and machine. This paper surveys the past work in solving these problems. The capability of the human visual system with respect to these problems is discussed, too. It is meant to serve as an ultimate goal and a guide for determining recommendations for development of an automatic facial expression analyzer.

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Section: Automatic Facial Expression Analysismentioning

confidence: 99%

Automatic analysis of facial expressions: the state of the art

Pantić

Rothkrantz

2000

IEEE Trans. Pattern Anal. Machine Intell.

1,443

538

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“…The next step consists to extract the facial features using the Active Shape Models (ASM) proposed by Cootes et al [13]. Typically the ASM works as follows: each structured object or target is represented by a set of landmarks manually placed in each image of the training set.…”

Section: B Facial Feature Extractionmentioning

confidence: 99%

Fiducial Point Location Algorithm for Automatic Facial Expression Recognition

Mathangopi¹,

Rajinigirinath²,

Malathi³

2019

IJTSRD

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We present an algorithm for the automatic recognition of facial features for color images of either frontal or rotated human faces. The algorithm first identifies the sub-images containing each feature, afterwards, it processes them separately to extract the characteristic fiducial points. Then Calculate the Euclidean distances between the center of gravity coordinate and the annotated fiducial points' coordinates of the face image. A system that performs these operations accurately and in real time would form a big step in achieving a human-like interaction between man and machine. This paper surveys the past work in solving these problems. The features are looked for in down-sampled images, the fiducial points are identified in the high resolution ones. Experiments indicate that our proposed method can obtain good classification accuracy.

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“…[17,18], we have attempted to relate the quantum game theory with quantum information theory by investigating the communication aspects of a three-player Prisoner's Dilemma quantum game. Kawakami [17] has studied the communication and information carriers in quantum games. He has shown that communications in quantum games can be used to solve problems that cannot be solved by using communications in classical games.…”

Section: Introductionmentioning

confidence: 99%

Communication aspects of a three-player Prisoner's Dilemma quantum game

Ramzan

Khan

2008

J. Phys. A: Math. Theor.

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We present a quantization scheme for a three-player Prisoner's Dilemma game. It is shown that entanglement plays a dominant role in the three-player quantum game. Four different types of payoffs are identified on the basis of different combinations of initial state and measurement basis entanglement parameters. A relation among these different payoffs is also established. We also study the communication aspects of the three-player game.By exploiting different combinations of initial state and measurement basis entanglement parameters, we establish a relationship for the information shared among the parties. It is seen that the strategies of the players act as carriers of information in quantum games.

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3-D emotion space for interactive communication

Cited by 4 publications

References 1 publication

Automatic analysis of facial expressions: the state of the art

Automatic analysis of facial expressions: the state of the art

Fiducial Point Location Algorithm for Automatic Facial Expression Recognition

Communication aspects of a three-player Prisoner's Dilemma quantum game

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