TILT-BASED PREDICTIVE TEXT INPUT CONCEPT FOR MOBILE DEVICES

Main Article Content

DOI

Marcin Badurowicz

m.badurowicz@pollub.pl

https://orcid.org/0000-0003-2249-4219
Stanisław Skulimowski

s.skulimowski@pollub.pl

Anna Prończuk-Omiotek

an.pronczuk@gmail.com

Abstract

In the paper authors are introducing the concept of usage of physical orientation of a mobile device, calculated using built-in environmental sensors like accelerometer, gyroscope and magnetometer for detection of tilting gesture. This gesture is used as an acceptance factor for the two next probable word solutions suggested to the user during text input. By performing the device tilt, the first or second word is being automatically put into the desired text field and new prediction is performed. The text predictions are calculated and stored directly on the device to maintain privacy protection. The founding concept of the software is being presented, as well as initial considerations and further plans. This solution is recommended especially to smartphone manufacturers like Microsoft, Samsung and Apple to deploy in their latest models.

Keywords:

mobile devices, human-computer interaction, accelerometer, text input, technology

References

Article Details

Badurowicz, M., Skulimowski, S., & Prończuk-Omiotek, A. (2017). TILT-BASED PREDICTIVE TEXT INPUT CONCEPT FOR MOBILE DEVICES. Journal of Technology and Exploitation in Mechanical Engineering, 3(1), 34–42. https://doi.org/10.35784/jteme.537
Author Biography

Stanisław Skulimowski

Lublin University of Technology, Institute of Computer Science, 38A Nadbystrzycka Str. 20-618 Lublin, Poland