An Efficient Activity Discovery for Geriatric Care through Dynamic Segmentation Technique
8 Pages Posted: 22 Mar 2019
Date Written: March 22, 2019
The geriatric care becomes an issue that demands more attention. The increase in the geriatric population, living independently, needs care and monitoring of the day long activities of these people in a remote way becomes a challenge to the researcher. Activity monitoring could be done remotely through the analysis of the sensory data whereas the sensors are placed in strategic locations within the residence. We offer a dynamic segmentation technique that in turn discovers the activities online. The existing activity monitoring is mostly based on scripted data. But it becomes un-realistic to prepare the training data set through repeated execution of a specific activity by a geriatric person. Thus, the paper renders a discovery approach that will be able to identify the activities without any prior learning. The claims are substantiated by the experimental findings. The algorithm is executed on benchmark data set ARUBA to establish the claims of the said technique.
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