Human Psychological Counselling Framework using Computer Vision

This research aims to investigate the connection between principles in psychology and technological progress by introducing an original framework for psychological counseling that incorporates state-of-the-art Computer Vision (CV) and Signal Processing (SP) methodologies. The primary aim is to develop an advanced counseling platform capable of swiftly identifying emotions and conducting thorough analyses of heart rate dynamics, providing profound insights into individuals’ emotional well-being during counseling sessions. The planned platform utilizes sophisticated computer vision algorithms to scrutinize facial expressions, body language, and other nuanced non-verbal cues displayed by clients. Simultaneously, signal processing methodologies are utilized to accurately capture and analyze physiological signals, with a particular emphasis on the intricate domain of heart rate variability. The combination of these modalities is intentionally designed to elevate the precision and depth of emotion recognition, equipping counselors with a comprehensive understanding of their clients’ emotional states. Key components of this research involve the creation and integration of cutting-edge algorithms for facial expression recognition, gesture analysis, and heart rate variability estimation. Rigorous empirical studies and the solicitation of user feedback form integral aspects of the evaluation process, with a significant focus on assessing the platform’s impact on the counseling environment, client engagement, and overall effectiveness in therapy