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Please use this identifier to cite or link to this item: http://repository.kln.ac.lk/handle/123456789/27841
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dc.contributor.authorWelhenge, Anuradhi-
dc.contributor.authorWelhenge, Chiranthi-
dc.date.accessioned2024-03-26T04:59:27Z-
dc.date.available2024-03-26T04:59:27Z-
dc.date.issued2023-
dc.identifier.citationWelhenge, Anuradhi; Welhenge, Chiranthi (2023), Effect of Finite Impulse Response Filters on Activities of Daily Living Classification Algorithms, 8th International Conference on Advances in Technology and Computing (ICATC 2023), Faculty of Computing and Technology, University of Kelaniya Sri Lanka. Page 22-25.en_US
dc.identifier.urihttp://repository.kln.ac.lk/handle/123456789/27841-
dc.description.abstractWith the increasing aging population, improving the healthcare system is an important task in every country. The largest number of hospitalizations of the elderly people is due to falls. Therefore, many researchers have come up with different fall detection mechanisms. Improving the accuracy of these algorithms is an important task. This paper focuses on the use of Finite Impulse Response filters to improve the accuracy.en_US
dc.publisherFaculty of Computing and Technology, University of Kelaniya Sri Lanka.en_US
dc.subjectADL, FIR, Accelerometers, Fall detection.en_US
dc.titleEffect of Finite Impulse Response Filters on Activities of Daily Living Classification Algorithmsen_US
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