Behnam Maleki

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Hand gesture recognition based on computer vision is considered as an efficient approach to establish communication between human and computer. This research provides a novel system to recognize dynamic hand gestures as different functions of mouse. For this purpose, a white glove is utilized in which fingertips have five different colors. Then, based on(More)
This paper presents a node-level self-organizing interference avoidance scheme (SIAC) between multiple coexisting wireless body area networks (WBANs) that incorporates self-organization and smart spectrum allocation. It follows a biologically inspired approach based on the theory of pulse-coupled oscillators for self-organization. The proposed scheme makes(More)
Ventilation is one of the key safety tasks in underground mines. Determination of the airflow through mine openings and ducts is complex and often requires the application of numerical analysis. The governing equations used in the computation of mine ventilation are discussed in matrix forms. The aim of this paper is to compare the most frequently used(More)
Reaction time is one of the effective factors in sports; therefore the purpose of this study is to compare simple and choice reaction time in the elite karateka of controlling, semi-controlled and free styles of Alborz Province. The research is of causal-comparative type and 60 elite karateka of controlling, semicontrolled and free styles were selected by(More)
We aim to enable a computer to comprehend and perform the mouse functions by analyzing a video with hand motions. For this purpose, dynamic gestures are captured by a web cam and are recognized as pre-defined gestures which are used to suggest mouse functions. The proposed algorithm initially detects the hand. Then, it tracks fingertips' trajectories within(More)
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