Academics at the University of West Scotland (UWS) have developed a tool capable of doing the emotion recognition with artificial intelligence (AI) that can help people with conditions neurodiverse, including autism.
Traditionally, emotion recognition has been a challenging and complex area of research involved in psychiatry, neurology and psychoanalysis.
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However, taking advantage of recent advances in vision processing, hearing, and affordable devices such as electroencephalogram (EEG) and electrocardiogram sensors (ECG), UWS researchers collaborated to create an Artificial Intelligence capable of interpreting emotion-related signals from brain and facial analysis.
A machine that “reads emotions”
The layers of emotions have always been a murky field in neuroscience because they are so broad and diverse. However, technology and recent research are increasingly improving ways of understanding the functioning of brain signals that lead to emotions.
Professor Naeem Ramzan, Director of the Center for Research on Affective and Human Computing for SMART Environments at UWS, explained:
“Emotions are fundamental aspects of the human experience and understanding the signals that trigger different emotions can have a profound impact on many areas of our lives. Our recent study resulted in the creation of comprehensive data that can be combined with wearable technology, using multiple sensors and Artificial Intelligence, to provide a vital tool of recognition of emotions.”
The system uses a multimodal database developed by the same UWS researchers, which consists of signals recorded during a study with audiovisual stimuli.
The participants of study recorded and evaluated their emotional reactions to each stimulus, considering behavior, stimulation and mastery.
These signals were captured by a camera and a wireless wearable device, with the potential to allow the use of affective computing in everyday applications.
This advancement may offer a new tool for clinicians, therapists and caregivers to better understand individuals' emotional states. with different neurodiverse conditions, improving mental health assessments and enabling early interventions for challenges emotional.
Furthermore, it paves the way for the development of technologies such as augmented reality, virtual and robotics, designed especially to help people understand and express emotions.
