Cognitive behaviour analysis based on facial information using depth sensors

Montenegro, J.F., Villarini, B., Gkelias, A. and Argyriou, V. 2016. Cognitive behaviour analysis based on facial information using depth sensors. Wannous, H., Pala, P., Daoudi, M. and Flórez-Revuelta, F. (ed.) ICPR Workshop on Understanding Human Activities through 3D Sensors (UHA3DS 2016). Cancun, Mexico 04 - 08 Dec 2016 Springer. https://doi.org/10.1007/978-3-319-91863-1

TitleCognitive behaviour analysis based on facial information using depth sensors
AuthorsMontenegro, J.F.
Villarini, B.
Gkelias, A.
Argyriou, V.
EditorsWannous, H.
Pala, P.
Daoudi, M.
Flórez-Revuelta, F.
TypeConference paper
Abstract

Cognitive behaviour analysis is considered of high impor- tance with many innovative applications in a range of sectors including healthcare, education, robotics and entertainment. In healthcare, cogni- tive and emotional behaviour analysis helps to improve the quality of life of patients and their families. Amongst all the different approaches for cognitive behaviour analysis, significant work has been focused on emo- tion analysis through facial expressions using depth and EEG data. Our work introduces an emotion recognition approach using facial expres- sions based on depth data and landmarks. A novel dataset was created that triggers emotions from long or short term memories. This work uses novel features based on a non-linear dimensionality reduction, t-SNE, applied on facial landmarks and depth data. Its performance was eval- uated in a comparative study, proving that our approach outperforms other state-of-the-art features.

Keywordscognitive behaviour, depth sensors, dimensionality reduction
Year2016
ConferenceICPR Workshop on Understanding Human Activities through 3D Sensors (UHA3DS 2016)
PublisherSpringer
Accepted author manuscript
Publication dates
Published16 May 2018
JournalLecture Notes in Computer Science
Journal citation10188, pp. 15-28
ISSN0302-9743
Book titleUnderstanding Human Activities Through 3D Sensors: Second International Workshop, UHA3DS 2016, Held in Conjunction with the 23rd International Conference on Pattern Recognition, ICPR 2016, Cancun, Mexico, December 4, 2016, Revised Selected Papers
ISBN9783319918624
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-319-91863-1
Web address (URL) of conference proceedingshttps://www.springer.com/gb/book/9783319918624?wt_mc=ThirdParty.RD.3.EPR653.About_eBook#otherversion=9783319918631
Web address (URL)http://www-rech.telecom-lille.fr/uha3ds2016/Papers/Cognitive%20behaviour%20analysis.pdf

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