Abstract
Abstract—The recognition and monitoring of activities of daily living is one of the key requirements of a Smart Living environment to promote levels of independence. In this paper,we present a novel approach to extracting high-level semantic information from low-level data acquired through video recordings. We have developed a Model Checker based on a bounded temporal past linear logic. We have evaluated the performance of the model checker based on a set of 12 experiments conducted within a Smart Kitchen environment. Initial results have demonstrated the utility of such an approach, however, further efforts are required to address issues of scalability and maintenance.
| Original language | English |
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| Title of host publication | Unknown Host Publication |
| Publisher | IEEE |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published (in print/issue) - 5 Nov 2010 |
| Event | International Conference on Information Technology and Applications in Biomedicine - Duration: 5 Nov 2010 → … |
Conference
| Conference | International Conference on Information Technology and Applications in Biomedicine |
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| Period | 5/11/10 → … |
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