Facial Response to Video Content in Depression

Gordon McIntyre, Roland Goecke, Michael Breakspear, Gordon Parker

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    Abstract

    Depressed subjects have been shown to respond dierently to images of positive and negative content, when compared with non-depressed subjects. The underlying cause could be the impaired inhibition of negative aect, which has been found in depressed patients across several studies. We describe the techniques used in an ongoing study to compare the clinical diagnosis of depression with automatically measured facial activity and expressions. Video recordings are made of patients and control subjects watching a series of lm clips, portraying negative and positive content. Subjectspeci c Active Appearance Models are built in order to extract visual features from the faces within frames captured from the videos. The raw feature data is then used to measure each participant`s facial activity and to train Support Vector Machines for recognition of facial expressions.
    Original languageEnglish
    Title of host publicationProceedings of the MMCogEmS Workshop 2011 at the 13th Int. Conf. on Multimodal Interaction
    EditorsFang Chen, Julien Epps, Natalie Ruiz, Eric Choi
    Place of PublicationSydney, Australia
    PublisherNICTA
    Pages1-2
    Number of pages2
    Publication statusPublished - 2011
    EventMMCogEmS Workshop 2011 at the 13th International Conference on Multimodal Interaction 2011 - Alicante, Alicante, Spain
    Duration: 14 Nov 201118 Nov 2011

    Conference

    ConferenceMMCogEmS Workshop 2011 at the 13th International Conference on Multimodal Interaction 2011
    CountrySpain
    CityAlicante
    Period14/11/1118/11/11

    Fingerprint

    Facial Expression
    Depression
    Video Recording
    Surgical Instruments
    Recognition (Psychology)
    Inhibition (Psychology)
    Support Vector Machine

    Cite this

    McIntyre, G., Goecke, R., Breakspear, M., & Parker, G. (2011). Facial Response to Video Content in Depression. In F. Chen, J. Epps, N. Ruiz, & E. Choi (Eds.), Proceedings of the MMCogEmS Workshop 2011 at the 13th Int. Conf. on Multimodal Interaction (pp. 1-2). Sydney, Australia: NICTA.
    McIntyre, Gordon ; Goecke, Roland ; Breakspear, Michael ; Parker, Gordon. / Facial Response to Video Content in Depression. Proceedings of the MMCogEmS Workshop 2011 at the 13th Int. Conf. on Multimodal Interaction. editor / Fang Chen ; Julien Epps ; Natalie Ruiz ; Eric Choi. Sydney, Australia : NICTA, 2011. pp. 1-2
    @inproceedings{3a92c45b1170460abf5880604bc7954a,
    title = "Facial Response to Video Content in Depression",
    abstract = "Depressed subjects have been shown to respond dierently to images of positive and negative content, when compared with non-depressed subjects. The underlying cause could be the impaired inhibition of negative aect, which has been found in depressed patients across several studies. We describe the techniques used in an ongoing study to compare the clinical diagnosis of depression with automatically measured facial activity and expressions. Video recordings are made of patients and control subjects watching a series of lm clips, portraying negative and positive content. Subjectspeci c Active Appearance Models are built in order to extract visual features from the faces within frames captured from the videos. The raw feature data is then used to measure each participant`s facial activity and to train Support Vector Machines for recognition of facial expressions.",
    keywords = "Facial expression analysis, Depression",
    author = "Gordon McIntyre and Roland Goecke and Michael Breakspear and Gordon Parker",
    year = "2011",
    language = "English",
    pages = "1--2",
    editor = "Fang Chen and Julien Epps and Natalie Ruiz and Eric Choi",
    booktitle = "Proceedings of the MMCogEmS Workshop 2011 at the 13th Int. Conf. on Multimodal Interaction",
    publisher = "NICTA",

    }

    McIntyre, G, Goecke, R, Breakspear, M & Parker, G 2011, Facial Response to Video Content in Depression. in F Chen, J Epps, N Ruiz & E Choi (eds), Proceedings of the MMCogEmS Workshop 2011 at the 13th Int. Conf. on Multimodal Interaction. NICTA, Sydney, Australia, pp. 1-2, MMCogEmS Workshop 2011 at the 13th International Conference on Multimodal Interaction 2011, Alicante, Spain, 14/11/11.

    Facial Response to Video Content in Depression. / McIntyre, Gordon; Goecke, Roland; Breakspear, Michael; Parker, Gordon.

    Proceedings of the MMCogEmS Workshop 2011 at the 13th Int. Conf. on Multimodal Interaction. ed. / Fang Chen; Julien Epps; Natalie Ruiz; Eric Choi. Sydney, Australia : NICTA, 2011. p. 1-2.

    Research output: A Conference proceeding or a Chapter in BookConference contribution

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    AU - Breakspear, Michael

    AU - Parker, Gordon

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    N2 - Depressed subjects have been shown to respond dierently to images of positive and negative content, when compared with non-depressed subjects. The underlying cause could be the impaired inhibition of negative aect, which has been found in depressed patients across several studies. We describe the techniques used in an ongoing study to compare the clinical diagnosis of depression with automatically measured facial activity and expressions. Video recordings are made of patients and control subjects watching a series of lm clips, portraying negative and positive content. Subjectspeci c Active Appearance Models are built in order to extract visual features from the faces within frames captured from the videos. The raw feature data is then used to measure each participant`s facial activity and to train Support Vector Machines for recognition of facial expressions.

    AB - Depressed subjects have been shown to respond dierently to images of positive and negative content, when compared with non-depressed subjects. The underlying cause could be the impaired inhibition of negative aect, which has been found in depressed patients across several studies. We describe the techniques used in an ongoing study to compare the clinical diagnosis of depression with automatically measured facial activity and expressions. Video recordings are made of patients and control subjects watching a series of lm clips, portraying negative and positive content. Subjectspeci c Active Appearance Models are built in order to extract visual features from the faces within frames captured from the videos. The raw feature data is then used to measure each participant`s facial activity and to train Support Vector Machines for recognition of facial expressions.

    KW - Facial expression analysis

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    M3 - Conference contribution

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    EP - 2

    BT - Proceedings of the MMCogEmS Workshop 2011 at the 13th Int. Conf. on Multimodal Interaction

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    A2 - Ruiz, Natalie

    A2 - Choi, Eric

    PB - NICTA

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    ER -

    McIntyre G, Goecke R, Breakspear M, Parker G. Facial Response to Video Content in Depression. In Chen F, Epps J, Ruiz N, Choi E, editors, Proceedings of the MMCogEmS Workshop 2011 at the 13th Int. Conf. on Multimodal Interaction. Sydney, Australia: NICTA. 2011. p. 1-2