Dae-Woong Kim

Effects of the toe spring angle of bobsleigh shoes on bobsleigh start time and forefoot bending angle in preparation for the 2018 Pyeongchang Winter Olympics

angle in preparation for the 2018 Pyeongchang Winter Olympics Seungbum Park*, Kyungdeuk Lee, Daewoong Kim, Junghyeon Yoo, Jaemin Jung, Kyunghwan Park, Sungwon Park and Jinhoon Kim Footwear Industrial Promotion Center, Busan, Republic of Korea; Footwear Biomechanics Team, Busan, Republic of Korea; Footwear Industrial Promotion Center, Busan Economic Promotion Agency, Footwear Biomechanics Team, Busan, Republic of Korea; TrekSta Inc, R&D Center, Busan, Republic of Korea

Analysis of plantar pressure during climbing for the development of sports climbing shoes

Gaining better insight into the loading volume and intensity of runners outside of the lab will allow progress in academia and industry. Within academia, monitoring the load experienced during every day activities will improve the quality of longitudinal research studies addressing overuse injury development. This is because real world load patterns prior to the onset of the injury could be analysed and the influence of activity related fatigue could be considered. The footwear industry could use SEF information to optimize footwear selection or customization for an individual. SEF might also give feedback to the customer with respect to a less injury-risky movement behaviour. The results of the present study provide evidence that the prediction based estimation of loading parameters based on machine learning algorithms might be a feasible approach for the prediction of loading parameters. Nonetheless, prediction quality needs to be further improved, in particular for loading parameters outside of the sagittal plane. This might be achieved by using more sophisticated machine learning techniques and/or by adding sensor information from other locations or different sensors, e.g. gyroscopes or pressure sensors.

Biomechanical analysis of marathon shoes applied to NESTFIT technology

The purpose of this study was to analyze foot pressure distribution of marathon shoes to which NESTFIT Technology was applied. As for marathon, shoes play a vital role in shortening records. However, they also might become a main factor of injury during longdistance running. This study will examine foot pressure distribution effects of marathon shoes during longdistance running, which have been developed by measuring Korean shoe lasts. The methods of this study can be explained as below. Firstly, ten healthy males were picked as subjects to participate in this study. 10 healthy male subjects with an average age of 22.3 years (SD=0.5), weight of 71.5 kg (SD=6.0) and height of 173.1 cm (SD=4.3) were recruited for this study. Secondly, the one equipment used for the study consist of af oot pressure device from Pedar-X, Germany and a treadmill from Pulse fitness, UK. Thirdly, the testing procedures involve each subject to test three different shoes by having running trials on a treadmill at a constant speed of 12.0km/hour. The pressure distribution data (contact area, maximum force, maximum peak pressure, maximum mean pressure)