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Face recognition systems play a vital role in many applications including surveillance, biometrics and security. In this work, we present a complete real-time face recognition system consisting of a face detection, a recognition and a downsampling module using an FPGA. Our system provides an end-to-end solution for face recognition; it receives video input from a camera, detects the locations of the...
This paper describes the ongoing development of a software framework for supporting interoperability and integration among heterogeneous network-based robotic development frameworks. We studied two of network based robotic software development frameworks named CAMUS framework and RT-middleware. The CAMUS (context-aware middleware for URC systems) is a middleware developed by Electronics and Telecommunications...
This paper presents a connection method for two ubiquitous robot spaces. The ubiquitous robotics is recently proposed and many methods are suggested to implement this concept. In many cases, software modularization and middleware technology are adopted. However, different middlewares are used for each case since there is no standard for such a technology. Thus, the implemented robotic space keeps...
In this paper, we propose a probability-based prediction framework for stress identification. The framework predicts the stress index of someone using vital signals and symptoms. The framework largely consists of learning stage and prediction stage. In learning stage, once vital signals and symptoms of stress group and normal group are available individually, a feature space is constructed. Vital...
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