Kalman filtering: theory and practice
Kalman filtering: theory and practice
Hand Posture Estimation by Combining 2-D Appearance-Based and 3-D Model-Based Approaches
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
A convex penalty method for optical human motion tracking
IWVS '03 First ACM SIGMM international workshop on Video surveillance
Automated Analysis of Nursing Home Observations
IEEE Pervasive Computing
A Smart Sensor to Detect the Falls of the Elderly
IEEE Pervasive Computing
Design and Trial Deployment of a Practical Sleep Activity Pattern Monitoring System
ICOST '09 Proceedings of the 7th International Conference on Smart Homes and Health Telematics: Ambient Assistive Health and Wellness Management in the Heart of the City
Discovery of high-level tasks in the operating room
Journal of Biomedical Informatics
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A key application of sensor networks in smart environments is in monitoring activities of people. We develop several scenarios in which ultrasonic sensors are used for monitoring of patients and the elderly. In each scenario, we apply different algorithms for data fusion and sensor selection using quality-based or time division approaches. We have devised trajectory-matching algorithms to classify trajectories of movement of people in indoor environments. The trajectories are divided into several routine classes and the current trajectory is compared against the known routine trajectories. The initial results are quite promising, and show the potential usability of ultrasonic sensors in monitoring indoor movements of people, and in capturing and classifying trajectories.