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A comparison between the performances of a stand-alone hardware-dependent solution and a cloud-based solution (known as fuzzy-as-a-service) is performed. The analysis is also carried out on two different cloud service providers and software libraries (Amazon Web Services using JFML as a java-based library and Azure Web Services using Simpful as a python-based library). The analysis and evaluation are performed on a human fall detection scenario involving wearable sensors. The proposed algorithm can identify between fall and non-fall events. However, the results show that the processing time taken per 10,000 samples using smartwatch and mobile was 2220 s and 101 s for a cloud-based non-fuzzy machine learning system, 1111 s and 45 s for a cloud-based fuzzy system with AWS and JFML, and 1250 s and 97 s for a cloud-based fuzzy system with Microsoft Azure and Simpful libraries. It has been observed that a smartwatch with a fuzzy stand-alone crashed after processing 5000 samples and a mobile phone requires 179.42 s to process 10,000 samples.<\/jats:p>","DOI":"10.1007\/s40815-022-01437-2","type":"journal-article","created":{"date-parts":[[2022,12,21]],"date-time":"2022-12-21T03:02:30Z","timestamp":1671591750000},"page":"951-965","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A Comparative Study of Stand-alone and Cloud-Based Fuzzy Logic Systems for Human Fall Detection"],"prefix":"10.1007","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9396-1286","authenticated-orcid":false,"given":"Bhavesh","family":"Pandya","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amir","family":"Pourabdollah","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ahmad","family":"Lotfi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,12,21]]},"reference":[{"key":"1437_CR1","doi-asserted-by":"publisher","unstructured":"Pandya, B., Pourabdollah, A., Lotfi, A.: Fuzzy logic web services for real-time fall detection using wearable accelerometer and gyroscope sensors. 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