KD-Net: Continuous-Keystroke-Dynamics-Based Human Identification from RGB-D Image Sequences
Xinxin Dai,
Ran Zhao,
Pengpeng Hu
et al.
Abstract:Keystroke dynamics is a soft biometric based on the assumption that humans always type in uniquely characteristic manners. Previous works mainly focused on analyzing the key press or release events. Unlike these methods, we explored a novel visual modality of keystroke dynamics for human identification using a single RGB-D sensor. In order to verify this idea, we created a dataset dubbed KD-MultiModal, which contains 243.2 K frames of RGB images and depth images, obtained by recording a video of hand typing wi… Show more
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