Ryota Kosono
ABSTRACT
Context-awareness using camera images is a promising technique for enabling ubiquitous computing and networking; however, it is still an open issue to identify mobile users, i.e., identifying an actual user with a mobile device from people in an area. This paper discusses a mobile user identification method mapping users in the camera images to mobile devices connected to an access point. The proposed scheme focuses on acceleration of a hand-held mobile device and that of a mobile user's hand, which synchronously vary when the mobile user utilizes the device. The scheme obtains the user's hand motion from cameras by motion capture, converts that data into acceleration of the user's hand, calculates the correlations between the value of the acceleration of the user's hands and devices, and solves a matching problem. Experimental results show that the proposed scheme identifies mobile users with 100% accuracy when users walk at 1 m/s or when users walk at 0.5 m/s and stop to use their mobile devices. The proposed scheme also identifies with greater than 94% accuracy even when the numbers of users and mobile devices are different.
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Index Terms
- Mobile User Identification by Camera-Based Motion Capture and Mobile Device Acceleration Sensors
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