Frontal Face Recognition from Patient Robot Point of View for Evaluating Nursing Skill

Abstract

The paper proposes a patient robot for training and evaluation of nursing skill of student nurses. The patient robot will be used for not only training but also objective evaluation of nursing action for improvement of nursing skill. For example, looking at the patient face in injection is important so that the patient feels safe. As a basic experiment, small CCD cameras are embedded into the eyes of a head of a simulation model in order to evaluate whether the nurse is looking at the patient face. Our method employs Genetic Algorithm (GA) and unprocessed input image to recognize frontal face of nurse in real time by model-based matching method. Moreover, HSV color system is adopted to improve the tracking performance of the recognition against noise while keeping the real-time nature. The experimental results show the method can evaluate injection skill in nursing by detection of frontal face of nurse.