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From the viewpoint of “UBEN-EKI,” we have developed an inconvenient input method for mobile devices, which provides us with chances of exploration. In the proposed mobile device, users provide a large number of motions to systems, which should be learnt. In this paper, we constitute evolutionary algorithms to automatically extract frequently-observed motions from whole the motion sequence.
The recognition of human actions from videos has several interesting and important applications, and a vast amount of different approaches has been proposed for this task in different settings. Such approaches can be broadly categorized in model-based and model-free. Typically, model-based approaches work only in very constrained settings, and because of that, a number of model-free approaches appeared...
This paper presents a robust hand gesture analysis method using 3D depth data. Our scheme focuses on accurate hand segmentation by eliminating the negative effect of the forearm part. In the general human computer interaction (HCI) tasks, such an assumption usually holds that the depth of hand is smaller than forearm. Therefore, the precise hand region can be obtained through the fusion of the hand...
Human hand gesture features extraction from the frame image sequences is one of the key jobs in the process of human hand tracking based upon particle filtering (PF), because it provides PF with key data for computing the weight value of a particle. In order to satisfy the need of real time human hand tracking, a novel features extraction approach, aimed at optimization of processing speed, is put...
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