Návrh senzorického systému pro měření emocí pomocí biosignálů

Abstract

This bachelor’s thesis deals with the design, implementation, and verification of a sensory system for the objective measurement of emotions using physiological signals during stimulation in virtual reality. The work is based on current trends in affective computing, where objective biometric feedback is utilized for emotion assessment, enabling better adaptation and more efficient interaction within virtual environments. The aim of the research is to overcome the limitations of subjective emotion evaluation and to propose a reliable system for monitoring affective states, which could find applications in fields such as telemedicine and psychotherapy. In the practical part, a measurement system based on the Biosignalsplux platform and the Meta Quest 3 headset was assembled and tested on a group of 30 volunteers. The experimental protocol included baseline measurements, interactive gaming scenarios, and passive viewing of 13 video sequences. For data analysis, a software pipeline was developed in Python, utilizing advanced filtering methods, including wavelet denoising for the reduction of motion artifacts. The results indicate that stimulus interactivity is a key factor in maintaining physiological activation. Electrodermal activity emerged as the most sensitive indicator of emotional engagement. Furthermore, the thesis suggests possibilities for further system optimization and its application in areas such as psychotherapy or exposure therapy for phobias.