International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 174 - Number 12 |
Year of Publication: 2021 |
Authors: Higor Alves Ferreira, Gabrielly Craveiro Ramos, Talles Marcelo Gonçalves De Andrade Barbosa |
10.5120/ijca2021920994 |
Higor Alves Ferreira, Gabrielly Craveiro Ramos, Talles Marcelo Gonçalves De Andrade Barbosa . Smart Shoes to Avoid Falls in the Elderly People. International Journal of Computer Applications. 174, 12 ( Jan 2021), 1-6. DOI=10.5120/ijca2021920994
The world's elderly population is overgrowing. It is estimated that, by the year 2050, the number of older people in society has doubled. One of the biggest problems faced by the elderly population is falling. Therefore, this article proposed a smart wearable shoe to prevent falls in the elderly. Fuzzy logic has been integrated into algorithms to lead with uncertain situations. Thus, it is possible to infer the risks of falling in each case correctly. Black box tests and simulations reveal that wearable technologies can avoid falls.