The aim of present study was to demonstrate usability of the recently developed “Smart Socks” System for analysis of locomotion temporal parameters. Smart socks system exploits pressure sensors which can be knitted directly in the garment, thus providing minimal discomfort for user. Two types of locomotion were analysed: walking and running. Experienced athletes took part in the experiment to perform movements in the controlled conditions in laboratory. The research demonstrated that temporal accuracy of Smart Sock system is acceptable for practical purposes. Data, provided by the system could distinguish heel strike and non-heel strike run and walk modes. More data is required for deeper analysis and interpretation of obtained temporal parameters and for development of recommendations for athletes and coaches.
Loading rate is an important parameter of running gait as it is commonly associated with increased risk of injury. In this paper we show, that most of the research related to calculating loading rate values from ground reaction force data cannot be directly compared, as the absolute loading rate values and the related first impact peak location and height are highly dependent on the filtering method used, cut-off frequency selected as well as loading rate calculation method selected. The results are based on running trial data from non-forefoot striking long distance runners gathered by the authors.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.