Cross cultural detection of depression from nonverbal behaviour

Sharifa Alghowinem, Roland GOECKE, Jeffrey Cohn, Michael WAGNER, Gordon Parker, Michael Breakspear

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

55 Citations (Scopus)
716 Downloads (Pure)


Millions of people worldwide suffer from depression. Do commonalities exist in their nonverbal behavior that would enable cross-culturally viable screening and assessment of severity? We investigated the generalisability of an approach to detect depression severity cross-culturally using video-recorded clinical interviews from Australia, the USA and Germany. The material varied in type of interview, subtypes of depression and inclusion healthy control subjects, cultural background, and recording environment. The analysis focussed on temporal features of participants' eye gaze and head pose. Several approaches to training and testing within and between datasets were evaluated. The strongest results were found for training across all datasets and testing across datasets using leave-one-subject-out cross-validation. In contrast, generalisability was attenuated when training on only one or two of the three datasets and testing on subjects from the dataset(s) not used in training. These findings highlight the importance of using training data exhibiting the expected range of variability.
Original languageEnglish
Title of host publication11th IEEE International conference and workshop on Automatic Face and Gesture Recognition 2015
EditorsKevin Bowyer, Ales Leonardis, Jeff Cohn
Place of PublicationSlovenia
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages8
ISBN (Electronic)9781479960262
Publication statusPublished - 2015
Event11th IEEE International conference and workshop on Automatic face and gesture recognition 2015 - Ljubljana, Ljubljana, Slovenia
Duration: 4 May 20158 May 2015 (Conference website)

Publication series

Name2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2015


Conference11th IEEE International conference and workshop on Automatic face and gesture recognition 2015
OtherThe IEEE conference series on Automatic Face and Gesture Recognition is the premier international forum for research in image and video-based face, gesture, and body movement recognition. Its broad scope includes: advances in fundamental computer vision, pattern recognition and computer graphics; machine learning techniques relevant to face, gesture, and body motion; new algorithms and applications. The conference presents research that advances the state-of-the-art in these and related areas, leading to new capabilities in various application domains
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