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A Study on User Authentication with Smartphone Accelerometer Sensor
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 Title & Authors
A Study on User Authentication with Smartphone Accelerometer Sensor
Seo, Jun-seok; Moon, Jong-sub;
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With the growth of financial industry with smartphone, interest on user authentication using smartphone has been arisen in these days. There are various type of biometric user authentication techniques, but gait recognition using accelerometer sensor in smartphone does not seem to develop remarkably. This paper suggests the method of user authentication using accelerometer sensor embedded in smartphone. Specifically, calibrate the sensor data from smartphone with 3D-transformation, extract features from transformed data and do principle component analysis, and learn model with using gaussian mixture model. Next, authenticate user data with confidence interval of GMM model. As result, proposed method is capable of user authentication with accelerometer sensor on smartphone as a high degree of accuracy(about 96%) even in the situation that environment control and limitation are minimum on the research.
Biometric;gait recognition;accelerometer sensor;pattern recognition;machine learning;authentication;
 Cited by
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