By watching a video, AI can now assist identify between straight and lateral backlifts

By watching a video, AI can now assist identify between straight and lateral backlifts ...

In order to avoid these minor errors, scientists are now making use of artificial intelligence (AI) to identify concepts used by players in the excitement to enjoy the game. However, a team''s support staff is always on the lookout for the finer details. For example, in cricket, the majority of viewers are interested in the number of runs a batsman made.

In a third, a batter facing a fast bowler must make a decision on the backlift in a fraction of a second. Imagine the technology being improved in a way that it can assist the support staff, or even the [players] in identifying the issues. In their latest research, researchers at the University of Johannesburg discovered a deep learning computer vision model, which allows users to distinguish straight backlift batters from straight ones.

According to a recent study, this study presents a way forward in the automatic recognition of player patterns and motion capture, making it less challenging for sports professionals, biomechanists, and video analysts working in the field.

Coaches may be able to provide more detailed feedback to players, as well as identifying players with lateral backlift components, according to Tevin Moodley, a doctoral student at the University of Johannesburg.

Untrained batters often opt for a lateral backlift, according to the researchers. Supposedly, young players are not coached using traditional methods, but they pick up the bat straight. This indirect suggests that a straight backlift is not a natural move, according to Prof Habib Noorbhai.