4D Motion vs Stathlete

4D Motion is the ultimate 3D platform for learning, analyzing and training human motion for sports, conditioning and physical therapy. *New for Golf* · An interactive golf tutorial featuring pro swings in 3D. You can see their swings from any angle, zoom in and out and see exactly what they are doing without the limitations of 2D video. Included are tips highlighting key positions or movements for each step of the swing. · Compare your movement to a pro’s. Record a video of your swing right from your phone and overlay a pro’s 3D model on top of your video from address to finish. This revolutionary technology will instantly highlight the changes you need to make to improve your swing, Use 4D Motion sensors to capture yourself or your students in 3D to train like a professional. Use 4D Motion sensors to measure and analyze/compare movements in 3D for physical therapy, rehabilitation and performance training. For golf, baseball, performance training, and physical therapy, 4D Motion is the most sophisticated, yet simple and affordable platform to analyze, learn, and train human motion. Download this free app and try it risk-free.

In sports, the collection and analysis of athlete-monitoring data are common practice, with the aim of assessing fatigue and subsequent adaptation responses, examining performance potential, and minimizing the risk of injury and/or illness. Athlete-monitoring systems should be underpinned by appropriate data analysis and interpretation, to enable the rapid reporting of simple and scientifically valid feedback. Using the correct scientific and statistical approaches can improve the confidence of decisions made from athlete-monitoring data. However, little research has discussed and proposed an outline of the process involved in the planning, development, analysis, and interpretation of athlete-monitoring systems. This app discusses a range of methods often employed to analyze athlete-monitoring data to facilitate and inform decision-making processes. There is a wide range of analytical methods and tools that practitioners may employ in athlete-monitoring systems, as well as several factors that should be considered when collecting these data, methods of determining meaningful changes, and various data-visualization approaches. Underpinning a successful athlete-monitoring system is the ability of practitioners to communicate and present important information to coaches, ultimately resulting in enhanced athletic performance