HIGHLIGHTS
- What: The aim of this article is to examine the benefits of using multimodal sensors to enhance the precision of fall detection systems. In the following section, the authors evaluate the benchmark datasets using the receiver operating characteristic (ROC) curve, error bar graph, and leave-one-out cross-validation (LOSO) scheme. frontiersin.org 10.3389/fbioe.2024.1398291 indicate the standard deviation or confidence intervals around these means.
- Who: Guangli Li et al. from the Hunan University of Technology, China have published the research work: A robust multimodal detection system: physical exercise monitoring in long . . .
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