Evaluation of feature values of surface electromyograms for user authentication on mobile devices

At the present time, mobile devices, such as tablet-type PCs and smart phones, have widely penetrated into our daily lives. Therefore, an authentication method that prevents shoulder surfing is needed. We are investigating a new user authentication method for mobile devices that use surface electrom...

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Bibliographic Details
Published in:Artificial life and robotics 2017-03, Vol.22 (1), p.108-112
Main Authors: Yamaba, Hisaaki, Kurogi, Akitoshi, Kubota, Shin-Ichiro, Katayama, Tetsuro, Park, Mirang, Okazaki, Naonobu
Format: Article
Language:English
Subjects:
Artificial Intelligence
Authentication
Computation by Abstract Devices
Computer Science
Control
Electromyography
Electronic devices
Feature extraction
Fourier transforms
Measuring instruments
Mechatronics
Muscles
Original Article
Robotics
Smartphones
Surfing
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Summary:At the present time, mobile devices, such as tablet-type PCs and smart phones, have widely penetrated into our daily lives. Therefore, an authentication method that prevents shoulder surfing is needed. We are investigating a new user authentication method for mobile devices that use surface electromyogram (s-EMG) signals, not screen touching. The s-EMG signals, which are generated by the electrical activity of muscle fibers during contraction, are detected over the skin surface. Muscle movement can be differentiated by analyzing the s-EMG. In this paper, a method that uses a list of gestures as a password is proposed. And also, results of experiments are presented that was carried out to investigate the performance of the method extracting feature values from s-EMG signals (using the Fourier transform) adopted in this research. M y o T M , which is the candidate of s-EMG measurement device used in a prototype system for future substantiative experiments, was used in the experiment together with the s-EMG measuring device used in the previous research to investigate its performance.
ISSN:1433-5298
1614-7456
DOI:10.1007/s10015-016-0323-4