Newcastle Psychiatric Hospital, Dublin City University, Trinity College Institute of Neuroscience, The Insight Center for Data Analytics, Biomedical Engineering Research Group, Maynooth University
Multimodal Validation of Facial Expression Detection Software for Real-time Monitoring of Affect in Patients with Suicidal Intent
Facial expression is an independent and objective marker of affect. Basic emotions (fear, sadness, joy, anger, disgust and surprise) have been shown to be universal across human cultures. Techniques such as the Facial Action Coding System can capture emotion with good reliability. Such techniques visually process the changes in different assemblies of facial muscles that produce the facial expression of affect.
Recent groundbreaking advances in computing and facial expression analysis software now allow real-time and objective measurement of emotional states. In particular, a recently developed software package and equipment, the Imotion Attention Tool™, allows capturing information on discreet emotional states based on facial expressions while a subject is participating in a behavioural task.
Extending preliminary work by further experimentation and analysis, the present findings suggests a link between facial affect data to already established peripheral arousal measures such as event related potentials (ERP), heart rate variability (HRV) and galvanic skin response (GSR) using disruptively innovative, noninvasive and clinically applicable technology in patients reporting suicidal ideation and intent compared to controls. Our results hold promise for the establishment of a computerized diagnostic battery that can be utilized by clinicians to improve the evaluation of suicide risk.