Automatic Estimation of Self-Reported Pain by Trajectory Analysis in the Manifold of Fixed Rank Positive Semi-Definite Matrices-Reference-Cited by-同舟云学术

Automatic Estimation of Self-Reported Pain by Trajectory Analysis in the Manifold of Fixed Rank Positive Semi-Definite Matrices

Published:2022-10-01 Issue:4 Volume:13 Page:1813-1826
ISSN:1949-3045
Container-title:IEEE Transactions on Affective Computing
language:
Short-container-title:IEEE Trans. Affective Comput.

Author:

Szczapa Benjamin¹^ORCID,Daoudi Mohamed²^ORCID,Berretti Stefano³^ORCID,Pala Pietro³^ORCID,Bimbo Alberto Del³^ORCID,Hammal Zakia⁴

Affiliation:

1. CNRS, Centrale Lille, UMR 9189 CRIStAL, University of Lille, Lille, France

2. IMT Nord Europe, Institut Mines-Télécom, Centre for Digital Systems, University Lille, Lille, France

3. Department of Information Engineering, University of Florence, Firenze, Italy

4. Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA

Funder

National Institutes of Health

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Software

Link

http://xplorestaging.ieee.org/ielx7/5165369/9964459/09893338.pdf?arnumber=9893338

Reference50 articles.

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4. A Kernel for Time Series Based on Global Alignments

5. Automatic estimation of self-reported pain by interpretable representations of motion dynamics;szczapa;Proc IEEE 25th Int Conf Pattern Recognit,2020

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