Abstract
In this paper, we analyze in-air movements in online handwriting databases when the distance from the tip of the pen to the paper surface is higher than 1 cm. In this case, the computer can only know the time spent in air because the distance is too high to track the x and y coordinates of the movement. While this kind of movement is usually discarded, some investigation must be done in order to decide if computational algorithms can take advantage of this information in some scenarios. In this paper, we establish a criterion to differentiate useful in-air long distance strokes from user pauses.
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Acknowledgements
This work has been supported by FEDER and MEC, TEC2016-77791-C4-2-R.
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Alonso-Martinez, C., Faundez-Zanuy, M. (2019). Experimental Analysis of in-Air Trajectories at Long Distances in Online Handwriting. In: Esposito, A., Faundez-Zanuy, M., Morabito, F., Pasero, E. (eds) Quantifying and Processing Biomedical and Behavioral Signals. WIRN 2017 2017. Smart Innovation, Systems and Technologies, vol 103. Springer, Cham. https://doi.org/10.1007/978-3-319-95095-2_10
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DOI: https://doi.org/10.1007/978-3-319-95095-2_10
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