Using Touch to Improve Emotion Recognition: Proposed System and Expert Validation

This paper explores the relationship between facial expressions of emotions and the sense of touch, with the future aim of investigating their impact on emotion recognition deficits in individuals with neurological disorders. The developed application involves a two-part system: a test designer for experts and a training simulator for patients. Using a haptic device, patients assess emotions, textures, and sensations through a survey. The system employs a client-server architecture, allowing remote monitoring by experts and promoting patient expression. The application gathers subjective and objective data for subsequent analysis. To validate the system, a study was conducted with two psychologists to identify potential usability issues prior to testing with end users.