Detecting Handwritten Mathematical Terms with Sensor Based Data

Understand

In this work we propose a solution to the UbiComp 2021 Challenge by Stabilo in which handwritten mathematical terms are supposed to be automatically classified based on time series sensor data captured on the DigiPen.

• The input data set contains data of different writers, with label strings constructed from a total of 15 different possible characters.
• The label should first be split into separate characters to classify them one by one.
• This issue is solved by applying a data-dependant and rule-based information extraction algorithm to the labeled data.