This paper describes the process and research that went into creating a set of 3D models to characterize a golf swing. The purpose of this work is to illustrate how a 3D scanner could be used for assessing athlete performance in sporting applications. In this case, introductory work has been performed to show how the scanner could be used to show the errors a golfer made in a swing. Multiple factors must be taken into account when assessing golfers’ swings including the position and movement of the golfer’s hands, arms, and foot placement as well as the position of the club head and shaft of the golf club.
The objectives of this study were 1) to evaluate the accuracy of 3D Scanners for measuring body volume index of the subject, and 2) to apply the body volume index of the subject for using as wellness assessment purposes.
This paper considers the impact of lighting and attire on the performance of a previously created low-cost 3D scanning system. It considers the effect of adjusting the lighting configuration and of the subject’s clothing on the quality of the scans and the number and types of objects that can be scanned. The experimentation performed tested different types (colors and textures) of clothing to assess which produced the best scans and multiple lighting configurations. This paper presents the results from this experimentation and, from this, make generalizations about optimizing visible light scanner performance before concluding with a discussion of scanner efficacy.