Jesús Fernandez-Bermejo, Jesús Martinez-Del-Rincon, Javier Dorado, Xavier Del Toro, María J Santofimia, Juan C Lopez
The global trend of increasing life expectancy introduces new challenges with far-reaching implications. Among these, the risk of falls among older adults is particularly significant, affecting individual health and the quality of life, and placing an additional burden on healthcare systems. Existing fall detection systems often have limitations, including delays due to continuous server communication, high false-positive rates, low adoption rates due to wearability and comfort issues, and high costs. In response to these challenges, this work presents a reliable, wearable, and cost-effective fall detection system...
March 16, 2024: International Journal of Neural Systems