TILT-BASED PREDICTIVE TEXT INPUT CONCEPT FOR MOBILE DEVICES | Zendy

Marcin Badurowicz | Zendy; Stanisław Skulimowski | Zendy; Anna Prończuk-Omiotek | Zendy

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TILT-BASED PREDICTIVE TEXT INPUT CONCEPT FOR MOBILE DEVICES

Author(s) -

Marcin Badurowicz,

Stanisław Skulimowski,

Anna Prończuk-Omiotek

Publication year - 2017

Publication title -

journal of technology and exploitation in mechanical engineering

Language(s) - English

Resource type - Journals

ISSN - 2451-148X

DOI - 10.35784/jteme.537

Subject(s) - gesture , gyroscope , tilt (camera) , accelerometer , computer science , word (group theory) , mobile device , orientation (vector space) , field (mathematics) , software , human–computer interaction , artificial intelligence , computer vision , engineering , world wide web , operating system , mechanical engineering , linguistics , philosophy , geometry , mathematics , pure mathematics , aerospace engineering

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.

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