Recently, markerless motion capture systems have been developed to address this issue. The set-up and data collection procedure using this technology consumes a significant amount of time and requires accurate and consistent placement of markers. Many motion capture systems allow the collection of kinetic and kinematic variables of human motion using marker-based methods. However, it has certain limitations including lack of portability and time-consuming data analysis. Force plate technology is highly used and many practitioners currently consider it the gold standard for assessing peak force and power outputs.
Key words: jump, basketball, force, sportīasketball is one of the most popular international sports, but the current sport science literature does not directly address on-court performance such as force and power during a game. These data provide strength and conditioning professionals with a better understanding of the magnitude of forces and powers that athletes experience during a basketball game, as well as validate use of a novel technology to monitor athletes’ progress and optimize overall athletic performance. Bland-Altman plots with 95% confidence intervals for both force and power indicated all measurements made with the 3-D MCS accurately assessed peak force and peak power during a basketball dunk as performed in the current study. The dunks were analyzed by both systems for peak force and peak power. Additionally, a 3-D MCS composed of eight cameras placed 3.7 m high surrounding the recording area collected data at 50 Hz, from which ground reaction forces were derived using inverse dynamics. A uni-axial force plate (FP) positioned under a regulation basket sampled data at 1000 Hz. A former collegiate (NCAA Division-I) basketball player (age=26 yrs, height=2.08 m, weight=111.4 kg) performed 30 maximum effort dunks utilizing a two-hands, no-step, two-leg jumping approach. This case study examined the accuracy of a three-dimensional markerless motion capture system (3-D MCS) for determining the biomechanical characteristics of the basketball dunk. Northwest Missouri State University, Maryville, MOĭimitrije Cabarkapa, MS, CSCS, NSCA-CPT, USAWġ301 Sunnyside Avenue, Lawrence, KS 66045Į-mail: +1 (785) 551-3882 Validity of 3-D Markerless Motion Capture System for Assessing Basketball Dunk Kinetics – A Case Studyīasketball is one of the most popular international sports, but the current sport science literature does not directly address on-court performance such as force and power during a game.Jayhawk Athletic Performance Laboratory, University of Kansas, Lawrence, KS.Simi offers markerless motion capture without the necessity of lab conditions, motion capture suits or specific colouring of room and floor.Authors: Dimitrije Cabarkapa 1, Andrew C. Markerless motion capture under real competition conditions This data is similar to the data being calculated by marker-based models, just without using markers. Background seen by cameras must be stable and have good contrast to actor What results do I get with Simi Shape 3D?Īfter automatic tracking with Simi Shape 3D you get 3D joint coordinates and rotations of all major body segments. Cameras must be positioned in a circle around the actor The results are 3D joint positions and joint angles (similar to marker-based systems but without using markers) Setup requirements Optimal fitting of silhouettes with 3D-model allows extraction of 3D joint positions and joint angles. Fitting of silhouettes for virtual 3D-model and person. Silhouettes are extracted (separation of person and background). What is the working process with Simi Shape 3D?
0 kommentar(er)
