Evaluation of algorithms for human fall detection based on acceleration measurements
Falls, in particular falls among elderly, are a major public health problem. Automatic fall detection systems ensure that elderly people receive prompt assistance after experiencing a fall and can reduce the negative consequences the fall. The thesis focused on resolving problems related to the eval...
| Permalink: | http://skupni.nsk.hr/Record/fer.KOHA-OAI-FER:52694/Similar |
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| Glavni autor: | Šeketa, Goran (-) |
| Ostali autori: | Magjarević, Ratko (Thesis advisor) |
| Vrsta građe: | Knjiga |
| Jezik: | eng |
| Impresum: |
Zagreb :
G. Šeketa ; Faculty of electrical engineering and computing,
2022.
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APA stil citiranja
Šeketa, G., & Magjarević, R. (2022). Evaluation of algorithms for human fall detection based on acceleration measurements: Evaluation of algorithms for human fall detection based on acceleration measurements : doctoral thesis. Zagreb: G. Šeketa ; Faculty of electrical engineering and computing.
Chicago stil citiranjaŠeketa, Goran, and Ratko Magjarević. Evaluation of algorithms for human fall detection based on acceleration measurements: Evaluation of algorithms for human fall detection based on acceleration measurements : doctoral thesis. Zagreb: G. Šeketa ; Faculty of electrical engineering and computing, 2022.
MLA stil citiranjaŠeketa, Goran, and Ratko Magjarević. Evaluation of algorithms for human fall detection based on acceleration measurements: Evaluation of algorithms for human fall detection based on acceleration measurements : doctoral thesis. Zagreb: G. Šeketa ; Faculty of electrical engineering and computing, 2022.