[Development Case] Estimating "Changes in the Mind" from Digital Pens and Biological Data
The estimated changes in the mind will cause the tree to distort and blur in real time!
We would like to introduce a case where we were responsible for the system planning, UI design, machine learning model, and application development of a system that estimates the "transience of the mind" from digital pen and biometric data. Focusing on drawing trees, we analyzed the collected data in real-time to estimate the transience of the mind and reflected it on the drawn tree. We collected pen data and biometric data to analyze the various ways of drawing trees, organizing common patterns, rare patterns, pen movements, and color usage. By combining the state of the canvas, user behavior, and biometric data, we developed a model to estimate how efficient or inefficient yet creative the user's behavior is, thereby estimating the transience of the mind. [Case Overview] - Organized common and rare patterns of trees, pen movements, and color usage. - Developed a model to estimate the efficiency or inefficiency yet creativity of user behavior by combining the state of the canvas, user behavior, and biometric data. *For more details, please refer to the related links or feel free to contact us.
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