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Multimodal validation of facial expression detection software for real-­time monitoring of affect in patients with suicidal intent
Amico, Francesco; Healy, Graham; Arvenah, Mahnaz; Kearney, Damien; Mohedano, Eva; Roddy, Darren; Yek, John; Smeaton, Alan F.; Brophy, Justin
We sought to test the hypothesis that previously validated biomarkers of high risk for suicide, namely EEG event related potentials (ERP), Galvanic skin response (GSR) and heart rate variability (HRV) can be employed in combination with facial affect and pupil dilation measures, in a novel diagnostic battery that will ultimately increase reliability of clinical evaluations of suicidal persons.
Keyword(s): Interactive computer systems; EEG; Suicide
Publication Date:
2015
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): Amico, Francesco, Healy, Graham ORCID: 0000-0001-6429-6339 <https://orcid.org/0000-0001-6429-6339>, Arvenah, Mahnaz, Kearney, Damien ORCID: 0000-0002-5924-6676 <https://orcid.org/0000-0002-5924-6676>, Mohedano, Eva, Roddy, Darren, Yek, John, Smeaton, Alan F. ORCID: 0000-0003-1028-8389 <https://orcid.org/0000-0003-1028-8389> and Brophy, Justin (2015) Multimodal validation of facial expression detection software for real-­time monitoring of affect in patients with suicidal intent. In: 9th Neuroscience Ireland Conference, 1-2 Sept 2015, Dublin, Ireland.
File Format(s): application/pdf
Related Link(s): http://doras.dcu.ie/20821/1/neuroscience_ireland_2015.pptx.pdf,
http://neuroscienceireland.com/nsi-conference/9th-neuroscience-ireland-conference-1st-and-2nd-september-2015-dcu/
First Indexed: 2015-09-17 05:05:11 Last Updated: 2019-02-09 06:14:48