Emotion Recognition for hHman-Machine Communication

Maaoui, Choubeila; Pruski, Alain; Faiza, Abdat

doi:10.1109/iros.2008.4650870

Cited by 30 publications

(15 citation statements)

References 15 publications

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“…11 Global evaluation of iFelt Accessing movies based on emotional impact intrusive sensors, e.g. in mice and wrist bands, to measure affective states [20,24,31,34].…”

Section: Discussionmentioning

confidence: 99%

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Accessing movies based on emotional impact

2013

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Emotions play a central role in our daily lives, influencing the way we think and act, our health and sense of well-being, and films are by excellence the form of art that exploits our affective, perceptual and intellectual activity, holding the potential for a significant impact. Video is becoming a dominant and pervasive medium, and online video a growing entertainment activity on the web and iTV, mainly due to technological developments and the trends for media convergence. In addition, the improvement of new techniques for gathering emotional information about videos, both through content analysis or user implicit feedback through user physiological signals complemented in manual labeling from users, is revealing new ways for exploring emotional information in videos, films or TV series, and brings out new perspectives to enrich and personalize video access. In this work, we reflect on the power that emotions have in our lives, on the emotional impact of movies, and on how to address this emotional dimension in the way we classify and access movies, by exploring and evaluating the design of iFelt in its different ways to classify, access, browse and visualize movies based on their emotional impact.

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“…11 Global evaluation of iFelt Accessing movies based on emotional impact intrusive sensors, e.g. in mice and wrist bands, to measure affective states [20,24,31,34].…”

Section: Discussionmentioning

confidence: 99%

“…Human Computer Interaction research field has been using physiologic, brain and behavior measures to study possible ways to identify and use emotions in humanmachine interactions [20,24]. Using machine-learning techniques, it is possible to learn and recognize physiologic patterns and associate them with emotional labels.…”

Section: Introductionmentioning

confidence: 99%

Accessing movies based on emotional impact

2013

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“…The concept of affective computing in 1997 by Since Picard [3] proposed that the role of emotions in human computer interaction. This domain attracted many researchers from computer science, biotechnology, psychology, and cognitive science and so on.…”

Section: Related Workmentioning

confidence: 99%

Emotion Detection From Text Documents

Shivhare¹,

Saritha²

2014

IJDKP

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“…Human Computer Interaction research field has been using physiologic, brain and behavior measures to study possible ways to identify and use emotions in human-machine interactions [16,20]. By us ing machine-learning techniques, it is possible to learn and recognize physiologic patterns and associate them with emotional labels.…”

Section: Introductionmentioning

confidence: 99%

Ifelt

Oliveira

Martins

Chambel

2011

Proceedings of the 9th European Conference on Interactive TV and Video

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Films are by excellence the form of art that exploits our affective, perceptual and intellectual activity. Technological developments and the trends for media convergence are turning video into a dominant and pervasive medium and online video is becoming a growing entertainment activity on t he web and iTV. The improvement of ne w techniques for gathering emotional information about videos, both through content analysis or user implicit feedback through user physiological signals, is revealing an unfolding of new ways for exploring emotional information in videos, films or TV series, and brings out new perspectives to personalize user information. We present iFelt -an interactive web video application to classify, access, explore and visualize movies based on their emotional characteristics. In this work, we explore the design and evaluate different ways to access, browse and visualize movies and their contents.

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Emotion Recognition for hHman-Machine Communication

Cited by 30 publications

References 15 publications

Accessing movies based on emotional impact

Accessing movies based on emotional impact

Emotion Detection From Text Documents

Ifelt

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