A Low-Cost Pen Grip Sensing Tool to Detect Handwriting Disorders

What is it about?

Handwriting is a complex motor activity, which may lead to some disorders like dysgraphia. These dysfunctions can be predicted by analyzing the pen’s motion, the pressure of the tip and the grip force. Various platforms have already been proposed to sense movement. However, the grip force sensing shows more hardware and software challenges. In this paper, we propose a low-cost pen grip sensing tool to detect handwriting disorders. A flexible, mutual capacitive sensor is rolled around the pen and connected to a system controller. We test our sensing tool on multiple single-touch conditions. The results show a homogeneity over the flexible sensor and a linearity of the response with several curvatures.

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Photo by eleni koureas on Unsplash

Photo by eleni koureas on Unsplash