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GESMO- MOtion GESture based Mobile Application
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 131 - Number 4 |
| Year of Publication: 2015 |
| Authors: Ravindra J. Mandale, Sagar Pawar, Vikram Chavan |
10.5120/ijca2015907327
|
Ravindra J. Mandale, Sagar Pawar, Vikram Chavan . GESMO- MOtion GESture based Mobile Application. International Journal of Computer Applications. 131, 4 ( December 2015), 37-41. DOI=10.5120/ijca2015907327
Abstract
There has been number of android mobile apps available for clients to solve their daily problems. This paper presents a Motion Gesture based mobile (GESMO) app in Android which allows user to draw gestures in the air resulting opening of a desired app assigned to corresponding gesture. This gesture may be the first letter of an app name which is to be launched. In order to start the motion, user must press and hold any point on the screen until the motion is completed. Once motion completes, it is released. For sensing the motion, we used two built-in sensors from mobile devices: accelerometer and gyroscope. The paper proposes a two-stage approach for spotting and recognition of generated stroke gesture. The spotting stage uses a Support Vector Machine (SVM) to identify data fragments containing one stroke gesture. The recognition stage uses Hidden Markov Models (HMM) to generate the text representation from the motion sensor data. With this technique, you can successfully receive 70-80% accuracy in detecting an air gesture for mobile devices.
References
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