Pen Pressure-Based Image Analysis for Handwriting in Counselling Therapy Monitoring

Abstract

The integration of pen pressure analysis with graphology holds substantial promise for enhancing therapeutic counselling sessions. This study investigates the variance in standard deviation (SD) values and intensity values between datasets comprising handwriting samples from hospital patients and teachers. These metrics, indicative of pen pressure application during writing, provide a nuanced window into individuals' psychological and emotional states. The significance of this variance lies in its potential to transform therapeutic counselling approaches. By contextualizing the variance, we demonstrate how SD and intensity values offer deeper insights into pen pressure, thereby illuminating the client's psychological profile. This knowledge proves pivotal within therapy sessions, where expressive writing tasks are commonplace. Variations in pen pressure can signify emotional shifts, moments of distress, or breakthroughs in self-expression during these sessions. This insight enables therapists to tailor their approaches to individual clients effectively. Those who exhibit strong pen pressure may benefit from assertive and structured therapeutic methods, while individuals with weaker pen pressure may find gentler, empathetic counselling styles more conducive to their progress. Furthermore, we propose a novel classification system that groups individuals based on their pen pressure patterns. This classification enriches therapists' understanding of their clients' unique needs and responses, allowing for a more personalized approach to therapy. Additionally, we advocate for integrating pen pressure analysis with established graphology parameters, such as handwriting style, baseline, curve, and speed. This integrated approach not only provides a holistic view of personality traits and emotional states but also enables therapists to identify potential conflicts or incongruities between different parameters, thus facilitating more nuanced assessments.