*CANCELLED* ANC Workshop - 04/03/2025 Speaker: Vito De Feo | University of EssexTitle: Signal Processing and Machine Learning for Brain and Mental Health: three cases.Abstract:I will present three examples of the application of signal processing and machine learning to psychology and mental health. The first example, which I will focus on more, concerns the use of pupil size to predict emotional arousal for commercial (neuromarketing) and clinical purposes. Researchers have long recognised the pupillary response as a potential indicator of emotional arousal, but confounding factors, particularly brightness, have limited its usefulness in detecting emotions. We have developed a new approach to isolate and remove the effect of brightness on pupil dilation from the impact of emotional arousal. We developed a comprehensive model that first extracts the emotional component of pupil dilation and then predicts levels of emotional arousal. I will show how this result can be useful for analysing the brain's response to commercial stimuli and how it can help to carry out psychological screening.The second example concerns the use of virtual reality and automatic emotion recognition for the treatment of phobias.The last example concerns the use of information theory to quantify the damage to multisensory integration caused by Long Covid syndrome. Mar 04 2025 13.00 - 14.00 *CANCELLED* ANC Workshop - 04/03/2025 Vito De Feo (University of Essex) Event host: Arno Onken G.03, Informatics Forum
*CANCELLED* ANC Workshop - 04/03/2025 Speaker: Vito De Feo | University of EssexTitle: Signal Processing and Machine Learning for Brain and Mental Health: three cases.Abstract:I will present three examples of the application of signal processing and machine learning to psychology and mental health. The first example, which I will focus on more, concerns the use of pupil size to predict emotional arousal for commercial (neuromarketing) and clinical purposes. Researchers have long recognised the pupillary response as a potential indicator of emotional arousal, but confounding factors, particularly brightness, have limited its usefulness in detecting emotions. We have developed a new approach to isolate and remove the effect of brightness on pupil dilation from the impact of emotional arousal. We developed a comprehensive model that first extracts the emotional component of pupil dilation and then predicts levels of emotional arousal. I will show how this result can be useful for analysing the brain's response to commercial stimuli and how it can help to carry out psychological screening.The second example concerns the use of virtual reality and automatic emotion recognition for the treatment of phobias.The last example concerns the use of information theory to quantify the damage to multisensory integration caused by Long Covid syndrome. Mar 04 2025 13.00 - 14.00 *CANCELLED* ANC Workshop - 04/03/2025 Vito De Feo (University of Essex) Event host: Arno Onken G.03, Informatics Forum
Mar 04 2025 13.00 - 14.00 *CANCELLED* ANC Workshop - 04/03/2025 Vito De Feo (University of Essex) Event host: Arno Onken
