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Fall injury is already a major problem in elderly health care. This work develops a self-adaptive fall-detection apparatus which is embedded in glasses for users easily to put on. The proposed system adopts a 9-axis sensing module of a triaxial magnetometer, accelerometer and gyroscope. First, the magnetometer is to filter out some normal events like head rotating, based on variations of rotation...
In this work, emotion-inspired age and gender recognition systems are developed. In the beginning, speakers' utterances with emotions of angry, happy, calm and sad are analyzed to identify their ages and genders where the recognition engine adopts a Support Vector Machine (SVM). According to the experimental results, the accuracies of the age and gender recognitions under a low arousal emotion tend...
The greatest challenge on monitoring characters from a monocular video scene is to track targets under occlusion conditions. In this work, we present a scheme to automatically track and count people in a surveillance system. First, a dynamic background subtraction module is employed to model light variation and then to determine pedestrian objects from a static scene. To identify foreground objects...
The cancer classification through gene expression patterns becomes one of the most promising applications of the microarray technology. It is also a significant procedure in bioinformatics. In this study a grid computing based evolutionary mining approach is proposed as discriminant function for gene selection and tumor classification. The proposed approach is based on the grid computing infrastructure...
The amount of multimedia sources from websites is extremely growing up every day. How to effectively search data and to find out what we need becomes a critical issue. In this work, four affective modes of exciting/happy, angry, sad and calm in songs and speeches are investigated. A song clip is partitioned into the main and refrain parts each of which is analyzed by the tempo, normalized intensity...
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