22-02-2016, 11:45 AM
seminar full report of Gyro Pen
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gyro pen seminar
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seminar full report of Gyro Pen
22-02-2016, 02:03 PM
gyro pen seminar
Abstract
We present GyroPen, a method to reconstruct the motion path for pen-like interaction from standard built-in sensors in modern smartphones. The key idea is to reconstruct a representation of the trajectory of the phone’s corner that is touching a writing or drawing surface from the measurements obtained from the phone’s gyroscopes and accelerometers.
We propose to directly use the angular trajectory for this reconstruction, which removes the necessity for accurate absolute 3-D position estimation, a task that can be difficult using low-cost accelerometers. We connect GyroPen to a handwriting recognition system and perform two proof-ofconcept experiments to demonstrate that the reconstruction accuracy of GyroPen is accurate enough to be a promising approach to text entry. In a first experiment, the average novice participant (n = 10) was able to write the first word only 37 s after the starting to use GyroPen for the first time. In a second experiment, experienced users (n = 2) were able to write at the speed of 3–4 s for one English word and with a character error rate of
18%.
INTRODUCTION
Small (touch)screen areas on mobile devices often limit their capabilities for user interaction. In this paper, we present GyroPen, a method that brings an experience similar to “drawing with a pen” to mobile devices without using a stylus and without the space restrictions typically imposed by a small form factor. The user can hold the mobile phone like a pen and “write” on any surface (see Fig. 1). The trajectory of the phone’s “writing corner” is reconstructed from the phone’s sensors: its gyroscopes and accelerometers. Because the proposed method does not require to use a touchscreen, it is appealing for small form factor devices or for devices lacking a screen A promising application of GyroPen’s capabilities is as a method for text entry. Text entry on mobile devices is a topic of interest as mobile devices are getting more popular: Entering text on mobile devices is still considered inconvenient by many, although a large variety of input methods have been proposed since the first mobile phones.
Abstract
We present GyroPen, a method to reconstruct the motion path for pen-like interaction from standard built-in sensors in modern smartphones. The key idea is to reconstruct a representation of the trajectory of the phone’s corner that is touching a writing or drawing surface from the measurements obtained from the phone’s gyroscopes and accelerometers.
We propose to directly use the angular trajectory for this reconstruction, which removes the necessity for accurate absolute 3-D position estimation, a task that can be difficult using low-cost accelerometers. We connect GyroPen to a handwriting recognition system and perform two proof-ofconcept experiments to demonstrate that the reconstruction accuracy of GyroPen is accurate enough to be a promising approach to text entry. In a first experiment, the average novice participant (n = 10) was able to write the first word only 37 s after the starting to use GyroPen for the first time. In a second experiment, experienced users (n = 2) were able to write at the speed of 3–4 s for one English word and with a character error rate of
18%.
INTRODUCTION
Small (touch)screen areas on mobile devices often limit their capabilities for user interaction. In this paper, we present GyroPen, a method that brings an experience similar to “drawing with a pen” to mobile devices without using a stylus and without the space restrictions typically imposed by a small form factor. The user can hold the mobile phone like a pen and “write” on any surface (see Fig. 1). The trajectory of the phone’s “writing corner” is reconstructed from the phone’s sensors: its gyroscopes and accelerometers. Because the proposed method does not require to use a touchscreen, it is appealing for small form factor devices or for devices lacking a screen A promising application of GyroPen’s capabilities is as a method for text entry. Text entry on mobile devices is a topic of interest as mobile devices are getting more popular: Entering text on mobile devices is still considered inconvenient by many, although a large variety of input methods have been proposed since the first mobile phones.
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