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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
provided by the
Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
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Showing 1 to 2 of 2 (0.108 seconds)Spelling suggestions: "subject:"verletzungsprävention"" "subject:"verletzungsprävention""
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Automated detection of e-scooter helmet use with deep learningSiebert, Felix W., Riis, Christoffer, Janstrup, Kira H., Kristensen, Jakob, Gül, Oguzhan, Lin, Hanhe, Hüttel, Frederik B. 19 December 2022 (has links)
E-scooter riders have an increased crash risk compared to cyclists [1 ]. Hospital data finds increasing numbers of injured e-scooter riders, with head injuries as one of the most common injury types [2]. To decrease this high prevalence of head injuries, the use of e-scooter helmets could present a potential countermeasure [3]. Despite this, studies show a generally low rate of helmet use rates in countries without mandatory helmet use laws [4][5][6]. In countries with mandatory helmet use laws for e-scooter riders, helmet use rates are higher, but generally remain lower than bicycle use rates [7]. As the helmet use rate is a central factor for the safety of e-scooter riders in case of a crash and a key performance indicator in the European Commission's Road Safety Policy Framework 2021-2030 [8], efficient e-Scooter helmet use data collection methods are needed. However, currently, human observers are used to register e-scooter helmet use either in direct roadside observations or in indirect video-based observation, which is time-consuming and costly. In this study, a deep learning-based method for the automated detection of e-scooter helmet use in video data was developed and tested, with the aim to provide an efficient data collection tool for road safety researchers and practitioners.
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Der Tapeverband am Sprunggelenk als technischer Bestandteil zur Leistungssteigerung im Sport am Beispiel des Fosbury Flops / Eine trainingswissenschaftliche Studie an Hochspringern / The Ankle Tape in High Jump - demonstrating taping as an integral technical feature to enhance performance in athletics / A biomechanical study on high jumpersGharavi-Nouri, Homayun 30 May 2005 (has links)
No description available.
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