Aesthetic　education　is　an　important　part　of　education.　However,　sports　action　teaching　and　aesthetic　education　are　closely　combined.　This　paper　discusses　the　important　role　of　aesthetic　education　in　action　teaching　through　the　relationship　between　action　education　and　aesthetic　education.　And　put　forward　how　to　cultivate　students＇　ability　of　feeling　beauty,　understanding　beauty,　and　expressing　beauty　through　various　aesthetic　education　means　such　as　teachers＇　aesthetic　education　ability,　optimizing　teaching　process　and　beautifying　teaching　environment.　Based　on　the　research　of　aesthetic　education　and　action　education,　this　paper　mainly　uses　data　mining　methods,　such　as　statistical　analysis　and　clustering,　to　further　mine　the　patterns　and　events　obtained　before,　so　as　to　form　a　higher　level　of　semantics.　From　the　two　directions　of　motion　recognition　algorithm　and　continuous　motion　segmentation,　the　feature　classification　method　based　on　depth　and　joint　data　and　the　segmentation　algorithm　based　on　sliding　window　are　studied　to　achieve　the　research　purpose.　In　the　experimental　part,　the　algorithm　is　tested　and　analyzed　based　on　the　action　data　set,　and　the　correctness　and　effectiveness　of　the　algorithm　are　verified.　©　2022　Xiaomei　Zhang.