Danielle Patrice B. Antonino, Fritzie Coleen O. Antonio, Renz Joshua R. De Guzman, Nimroy C. Delos Reyes, Cayl Cedric M. Ronquillo, Gabriel Rodnei M. Geslani, Edison A. Roxas, & Harold Alexis A. Lao
Handwriting assessment is important in identifying where a person struggles with handwriting. Unfortunately, the classical method of handwriting assessment is conducted manually by occupational therapists, which is considered qualitative and time consuming. Moreover, technical methods such as the IMU-based pens were only used in conducting tests with regards to handwriting recognition, and no existing literature indicates that an IMU was used for handwriting assessment. This study aims to prove that it is possible to gather raw data from the assembled IMU-based pen made by the group, and transform them into the parameters needed by the clinicians in assessing handwriting. This study does not intend to replace clinicians, but it intends to help them in conducting an assessment from a qualitative to a quantitative standpoint.
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