title: Pre-impact fall detection.
abstract: Pre-impact fall detection has been proposed to be an effective fall prevention strategy. In particular, it can help activate on-demand fall injury prevention systems (e.g. inflatable hip protectors) prior to fall impacts, and thus directly prevent the fall-related physical injuries. This paper gave a systematical review on pre-impact fall detection, and focused on the following aspects of the existing pre-impact fall detection research: fall detection apparatus, fall detection indicators, fall detection algorithms, and types of falls for fall detection evaluation. In addition, the performance of the existing pre-impact fall detection solutions were also reviewed and reported in terms of their sensitivity, specificity, and detection/lead time. This review also summarized the limitations in the existing pre-impact fall detection research, and proposed future research directions in this field.
authors.affiliation: Institute of Human Factors and Ergonomics, College of Mechatronics and Control Engineering, Shenzhen University, 3688 Nanhai Avenue, Shenzhen City, Guangdong Province, China.
authors.forename: Xinyao
authors.initials: X
authors.lastname: Hu
authors.affiliation: Institute of Human Factors and Ergonomics, College of Mechatronics and Control Engineering, Shenzhen University, 3688 Nanhai Avenue, Shenzhen City, Guangdong Province, China. quxd@szu.edu.cn.
authors.forename: Xingda
authors.initials: X
authors.lastname: Qu
mesh_terms: D000058:Accidental Falls; D000465:Algorithms; D006801:Humans; D055595:Mechanical Phenomena; D018670:Monitoring, Ambulatory / Q000379:methods*; D013997:Time Factors
keywords: Fall accidents; Fall prevention; Pre-impact fall detection