Gait Recognition: The Wearable Solution
Maria De Marsico; Alessio Mecca Department of Computer Science, Sapienza University of Rome, Rome, Italy
Abstract
Two main factors encourage new investigations regarding biometric gait recognition. First, wearable sensors allow a new approach to this problem, which does not suffer from the hindering factors affecting computer vision methods. Occlusions, camera field of view/angle, or illumination are not issues anymore, and it is possible to better focus on gait intrinsic features. Second, wearable sensors are nowadays commonly embedded in widespread mobile devices, especially smartphones. This allows setting up a gait recognition system without special equipment (either cameras or ...
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