This week, our data scientists discuss how AI-driven body pose estimation technology can be used by athletes to improve sports performance. 

Too often, athletes face injuries that could have been prevented by better technique and body positioning. When running, impact at each step, overtraining and poor form can promote undue strain on muscles, joints, and tendons and the cumulative effect can lead to serious injury. Getting professional feedback from physical trainers to prevent these injuries can be costly, tedious, and ineffective. 

After facing a major injury while training for a marathon, one of Xyonix's own data scientists created a machine-learning algorithm that relies on body pose estimation technology to assess and correct his running form. The device measures the motions of key body parts based on videos of the runner to assess for inefficiencies such as asymmetrical technique or poor cadence. 

If you're interested in reading about this topic, visit our blog article here:

• Using AI to Improve Sports Performance & Achieve Better Running Efficiency