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http://dx.doi.org/10.3745/KTCCS.2017.6.2.67

User Authentication Using Accelerometer Sensor in Wrist-Type Wearable Device  

Kim, Yong Kwang (고려대학교 정보보호대학원 정보보호학과)
Moon, Jong Sub (고려대학교 전자 및 정보공학과)
Publication Information
KIPS Transactions on Computer and Communication Systems / v.6, no.2, 2017 , pp. 67-74 More about this Journal
Abstract
This paper proposes a method of user authentication through the patterns of arm movement with a wrist-type wearable device. Using the accelerometer sensor which is built in the device, the 3-axis accelerometer data are collected. Then, the collected data are integrated and the periodic cycle are extracted. In the cycle, the features of frequency are generated with the accelerometer. With the frequency features, 2D Gaussian mixture are modelled. For authenticating an user, the data(the accelerometer) of the user at some point are tested with confidence interval of the Gaussian distribution. The model showed a valuable results for the user authentication with an example, which is average 92% accuracy with 95% confidence interval.
Keywords
Accelerometer; User Authentication; Machine Learning; Wearable Device; Biometric;
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Times Cited By KSCI : 3  (Citation Analysis)
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