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In Human Activity Recognition (HAR) supervised and semi-supervised training are important tools for devising parametric activity models. For the best modelling performance, typically large amounts of annotated sample data are required. Annotating often represents the bottleneck in the overall modelling process as it usually involves retrospective analysis of experimental ground truth, like video footage...
A mobile monitoring system for ambulant patients typically monitors bio-signals of a patient, processes and distributes these signals to formal caregivers. Often the monitoring service is long lasting, ranging from hours, days, to even months. The tasks involved in this end-to-end service are distributed over a networked ICT infrastructure and an optimal assignment may be found using task assignment...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.