WMC Analytics has filed 1 patent, falling within the AI & Machine Learning category.
The application covers technology for analyzing gameplay replays through artificial intelligence, parsing game files to classify in-game events and extract performance data. This AI & Machine Learning system generates personalized training assessments designed to help players identify their weakest skills and understand how to improve specific gameplay gaps.
The AI & Machine Learning patent targets the problem of effective skill development in competitive gaming by automating the coaching process. Rather than simply flagging a player's weakest area, the system calculates what it calls the "path of least resistance," determining which skill improvement would deliver the most value relative to a player's competitive goals. This approach uses machine learning to compare a player's performance against benchmarks through a Q&A-style calculation, then prioritizes coaching recommendations based on leverage rather than absolute deficiency. The result is a training system that directs practice time toward the gaps that matter most for rank advancement, not just the skills where a player performs worst in isolation.
All data sourced from USPTO patent filings. Google Patents may take several weeks to index recent publications. If a link is unavailable, search for the patent number at USPTO Patent Public Search.