Effect of Finite Impulse Response Filters on Activities of Daily Living Classification Algorithms

dc.contributor.author	Welhenge, Anuradhi
dc.contributor.author	Welhenge, Chiranthi
dc.date.accessioned	2024-03-26T04:59:27Z
dc.date.available	2024-03-26T04:59:27Z
dc.date.issued	2023
dc.identifier.citation	Welhenge, 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.uri	http://repository.kln.ac.lk/handle/123456789/27841
dc.description.abstract	With 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.publisher	Faculty of Computing and Technology, University of Kelaniya Sri Lanka.	en_US
dc.subject	ADL, FIR, Accelerometers, Fall detection.	en_US
dc.title	Effect of Finite Impulse Response Filters on Activities of Daily Living Classification Algorithms	en_US