Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Classifying pretended and evoked facial expressions of positive and negative affective states using infrared measurement of skin temperature

    128719_128719Khan-Ward-Ingleby-final-draft-11-2008.pdf (341.8Kb)
    Access Status
    Open access
    Authors
    Khan, Masood Mehmood
    Ward, R. D.
    Ingleby, M.
    Date
    2009
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Khan, Masood Mehmood and Ward, Robert and Ingleby, Michael. 2009. Classifying pretended and evoked facial expressions of positive and negative affective states using infrared measurement of skin temperature. ACM Transactions on Applied Perception 6 (1): pp. 6:1-6:22.
    Source Title
    ACM Transactions on Applied Perception
    Additional URLs
    http://doi.acm.org/10.1145/1462055.1462061
    ISSN
    1544-3558
    Faculty
    School of Engineering
    Faculty of Science and Engineering
    Department of Mechanical Engineering
    Remarks

    © ACM, 2009. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in the ACM Transactions on Applied Perception, {VOL. 6, ISS 1, 2009} http://doi.acm.org/10.1145/1462055.1462061

    URI
    http://hdl.handle.net/20.500.11937/44186
    Collection
    • Curtin Research Publications
    Abstract

    Earlier researchers were able to extract the transient facial thermal features from thermal infrared images (TIRIs) to make binary distinctions between the expressions of affective states. However, effective human-computer interaction would require machines to distinguish between the subtle facial expressions of affective states. This work, for the first time, attempts to use the transient facial thermal features for recognizing a much wider range of facial expressions. A database of 324 time-sequential, visible-spectrum, and thermal facial images was developed representing different facial expressions from 23 participants in different situations. A novel facial thermal feature extraction, selection, and classification approach was developed and invoked on various Gaussian mixture models constructed using: neutral and pretended happy and sad faces, faces with multiple positive and negative facial expressions, faces with neutral and six (pretended) basic facial expressions, and faces with evoked happiness, sadness, disgust, and anger. This work demonstrates that (1) infrared imaging can be used to observe the affective-state-specific facial thermal variations, (2) pixel-grey level analysis of TIRIs can help localise significant facial thermal feature points along the major facial muscles, and (3) cluster-analytic classification of transient thermal features can help distinguish between the facial expressions of affective states in an optimized eigenspace of input thermal feature vectors. The observed classification results exhibited influence of a Gaussian mixture model's structure on classifier-performance. The work also unveiled some pertinent aspects of future research on the use of facial thermal features in automated facial expression classification and affect recognition.

    Related items

    Showing items related by title, author, creator and subject.

    • A Hierarchical Separation and Classification Network for Dynamic Micro-Expression Classification
      Vice, Jordan; Khan, Masood ; Tan, Tele ; Murray, Iain ; Yanushkevich, Svetlana (2023)
      Models of seven discrete expressions developed using macro-level facial muscle variations would suffice identifying macro-level expressions of affective states. These models won’t discretise continuous and dynamic ...
    • Adaptive Classification of Occluded Facial Expressions of Affective States
      Vice, Jordan; Khan, Masood ; Murray, Iain; Yanushkevich, Svetlana (2022)
      Internationally, the recent pandemic caused severe social changes forcing people to adopt new practices in their daily lives. One of these changes requires people to wear masks in public spaces to mitigate the spread of ...
    • Modeling and verification of facial expression display mechanism for developing a sociable robot face
      Benson, D.; Khan, Masood Mehmood; Tan, Tele; Hargreaves, T. (2016)
      © 2016 IEEE.Sociable robots can afford the ability to express emotive experiences in a realistic manner if they are able to appropriately display facial expressions and conform to the normative emotion display rules. ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.