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http://hdl.handle.net/20.500.12188/24303
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kirandzhiska, Vesna | en_US |
dc.contributor.author | Ackovska, Nevena | en_US |
dc.date.accessioned | 2022-11-09T09:55:04Z | - |
dc.date.available | 2022-11-09T09:55:04Z | - |
dc.date.issued | 2013 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12188/24303 | - |
dc.description.abstract | In human-to-human interaction emotion perception is the perception on the emotion of the other people, which, due to the nature of emotions is not so precise. On the other hand, perception on emotions in human-computer interaction is still an open problem. A lot of work is done in direction of finding suitable model for perceiving emotions based on different input signals and classification models. Here, only sound signals are considered. Emotion perception is being used in human-robot interaction among others. Robots are machines that can partially act like humans, and today some robots can even perceive emotions. Here a custom build emotion aware robot that perceives emotion evaluation is used to investigate the similarity and differences of the robot's perception with human's perception. This paper presents a discussion about the future of robots that can perceive human emotions and their usage. | en_US |
dc.publisher | Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Macedonia | en_US |
dc.title | Comparison of Humans and Robots Emotion Evaluation Perception Based On Human Sound | en_US |
dc.type | Proceedings | en_US |
dc.relation.conference | The 10th Conference for Informatics and Information Technology (CIIT 2013) | en_US |
item.fulltext | With Fulltext | - |
item.grantfulltext | open | - |
crisitem.author.dept | Faculty of Computer Science and Engineering | - |
Appears in Collections: | Faculty of Computer Science and Engineering: Conference papers |
Files in This Item:
File | Опис | Size | Format | |
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COMPARISONOFHUMANSANDROBOTSEMOTIONEVALUATIONPERCEPTIONBASEDONHUMANSOUND.pdf | 273.86 kB | Adobe PDF | View/Open |
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