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Automated Representation of Non-Emotional Expressivity to Facilitate Understanding of Facial Mobility: Preliminary Findings

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Clawson, Kathy, Delicato, Louise, Garfield, Sheila and Young, Shell (2018) Automated Representation of Non-Emotional Expressivity to Facilitate Understanding of Facial Mobility: Preliminary Findings. In: Intelligent Systems Conference 2017, 7-8 September 2017, London.

Item Type: Conference or Workshop Item (Paper)

Abstract

We present an automated method of identifying and representing non-emotional facial expressivity in video data. A benchmark dataset is created using the framework of an existing clinical test of upper and lower face movement, and initial findings regarding automated quantification of facial motion intensity are discussed. We describe a new set of features which combine tracked interest point statistics within a temporal window, and explore the effectiveness of those features as methods of quantifying changes in non-emotional facial expressivity of movement in the upper part of the face. We aim to develop this approach as a protocol which could inform clinical diagnosis and evaluation of treatment efficacy of a number of neurological conditions including Parkinson’s Disease.

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More Information

Additional Information: 10.1109/IntelliSys.2017.8324218
Depositing User: Kathy Clawson

Identifiers

Item ID: 7821
URI: http://sure.sunderland.ac.uk/id/eprint/7821
Official URL: https://ieeexplore.ieee.org/document/8324218

Users with ORCIDS

ORCID for Kathy Clawson: ORCID iD orcid.org/0000-0001-8431-1524
ORCID for Louise Delicato: ORCID iD orcid.org/0000-0001-8271-2324
ORCID for Shell Young: ORCID iD orcid.org/0000-0002-9360-2056

Catalogue record

Date Deposited: 20 Sep 2017 14:54
Last Modified: 18 Dec 2019 15:41

Contributors

Author: Kathy Clawson ORCID iD
Author: Louise Delicato ORCID iD
Author: Shell Young ORCID iD
Author: Sheila Garfield

University Divisions

Faculty of Technology
Faculty of Technology > School of Computer Science

Subjects

Computing > Information Systems
Computing

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  • Automated Representation of Non-Emotional Expressivity to Facilitate Understanding of Facial Mobility: Preliminary Findings. (deposited 20 Sep 2017 14:54) [Currently Displayed]