- author = "Rahadian Yusuf",
- title = "Evolving user-specific emotion recognition model via incremental genetic programming",
- school = "Graduate School of Science and Engineering, Doshisha University",
- year = "2016",
- address = "Japan",
- month = nov,
- keywords = "genetic algorithms, genetic programming, Affective Computing, Emotion Recognition, Adaptation, User-specific, XGP, Microsoft Kinect",
-
URL = "
http://doi.org/10.14988/di.2017.0000016947",
-
DOI = "
10.14988/di.2017.0000016947",
-
URL = "https://doshisha.repo.nii.ac.jp/?action=repository_uri&item_id=1349&file_id=21&file_no=2",
-
URL = "
http://doshisha.repo.nii.ac.jp/short/zk840.pdf",
- size = "130 pages",
- abstract = "This research proposes a model to tackle challenges common in Emotion Recognition based on facial expression. First, we use pervasive sensor and environment, enabling natural expressions of user, as opposed to unnatural expressions on a large dataset. Second, the model analyzes relevant temporal information, unlike many other researches. Third, we employ user-specific approach and adaptation to user. We also show that our evolved model by genetic programming can be analyzed on how it really works and not a black-box model.",
-
notes = "CiNii ID: 9000345272080
Also known as \cite{weko_1349_1}
Supervisor: Katsunori Shimohara",
