TILT-BASED PREDICTIVE TEXT INPUT CONCEPT FOR MOBILE DEVICES
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CFD ANALYSIS OF THE AIR FLOW AROUND THE BLADES OF THE VERTICAL AXIS WIND TURBINE
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HIP JOINT AND HIP ENDOPROSTHESIS BIOMECHANICS
Jakub Gryka21-27
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BIOMECHANICS OF THE HUMAN HAND
Łukasz Jaworski, Robert Karpiński28-33
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TILT-BASED PREDICTIVE TEXT INPUT CONCEPT FOR MOBILE DEVICES
Marcin Badurowicz, Stanisław Skulimowski, Anna Prończuk-Omiotek34-42
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THE STRUCTURAL AND MECHANICAL PROPERTIES OF THE BONE
Robert Karpiński, Łukasz Jaworski, Paulina Czubacka43-50
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THE PRODUCT DESIGN PROCESS USING STYLISTIC SURFACES
Arkadiusz Gita, Mariusz Kłonica51-61
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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.
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References
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Stanisław Skulimowski
Lublin University of Technology, Institute of Computer Science, 38A Nadbystrzycka Str. 20-618 Lublin, Poland
