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Titlebook: Human Behavior Understanding; 6th International Wo Albert Ali Salah,Ben J.A. Kröse,Diane J. Cook Conference proceedings 2015 Springer Inter

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Online Prediction of People’s Next Point-of-Interest: Concept Drift Supportd from moving users’ challenges human ability to analyze the stream of input data. Therefore, new methods for online mining of moving object data are required. One of the popular approaches available for moving objects is the prediction of the unknown future location of an object. In this paper we p
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Abnormal Behavioral Patterns Detection from Activity Records of Institutionalized Older Adultsld indicate an incipient symptom of a disease or a steep decline in the health of the person. Abnormal pattern discovery has been studied in the context of an array of (wearable) sensors (i.e. accelerometers, infrared, cameras, etc.) dedicated to monitor the older adult. In this work we explore the
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Activity Patterns in Stroke Patients - Is There a Trend in Behaviour During Rehabilitation?s to explore and quantify intensity and development in the patients’ activity patterns as these may change during the rehabilitation process. We analyse motion data recordings from wearable inertial measurement units of eleven patients up to eleven days, totally 102 recording days. Using logic rules
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Identification of Basic Behavioral Activities by Heterogeneous Sensors of In-Home Monitoring System we discuss information technologies employed for sensing and identification of basic behavioral activities of a patient in a low-cost caregiver assisting system. By analyzing readings from heterogeneous sensors, the system automatically detects the activities, assesses risks which they may have for
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