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Analysis of Facial Information for Healthcare Applications: A Survey on Computer Vision-Based Approaches

1
National Research Council of Italy, Institute of Applied Sciences and Intelligent Systems, via Monteroni snc, 73100 Lecce, Italy
2
Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg, 4365 Esch-sur-Alzette, Luxembourg
3
Department of Engineering for Innovation, University of Salento, via Monteorni, 73100 Lecce, Italy
*
Author to whom correspondence should be addressed.
Information 2020, 11(3), 128; https://doi.org/10.3390/info11030128
Received: 20 December 2019 / Revised: 3 February 2020 / Accepted: 19 February 2020 / Published: 26 February 2020
(This article belongs to the Special Issue 10th Anniversary of Information—Emerging Research Challenges)
This paper gives an overview of the cutting-edge approaches that perform facial cue analysis in the healthcare area. The document is not limited to global face analysis but it also concentrates on methods related to local cues (e.g., the eyes). A research taxonomy is introduced by dividing the face in its main features: eyes, mouth, muscles, skin, and shape. For each facial feature, the computer vision-based tasks aiming at analyzing it and the related healthcare goals that could be pursued are detailed. View Full-Text
Keywords: computer vision; face analysis; eye gaze tracking; facial expressions; healthcare computer vision; face analysis; eye gaze tracking; facial expressions; healthcare
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Leo, M.; Carcagnì, P.; Mazzeo, P.L.; Spagnolo, P.; Cazzato, D.; Distante, C. Analysis of Facial Information for Healthcare Applications: A Survey on Computer Vision-Based Approaches. Information 2020, 11, 128.

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