As　one　of　the　important　health　indicators　of　the　body,　plantar　pressure　distribution　has　great　reference　value　in　clinical　medicine,　sports　and　fitness　training,　and　rehabilitation　fields.　The　purpose　of　plantar　pressure　collection　is　to　identify　the　movement　patterns　and　pressure　distribution　information　of　the　human　lower　limbs.　This　article　focuses　on　introducing　the　design　of　plantar　pressure　detection　and　motion　detection　systems　from　the　aspects　of　array　plantar　pressure　sensors,　STM32　acquisition　circuits,　acquisition　programs,　and　gait　segmentation　recognition　algorithms.　During　the　process　of　human　body　state　recognition,　the　collection　system　sequentially　scans　16　plantar　pressure　sensors　and　transmits　the　collected　data　to　the　pressure　measurement　recognition　software　for　real-time　graphic　display　and　motion　recognition.　Wireless　communication　is　carried　out　using　WiFi　transmission,　and　repetitive　action　segmentation　and　different　pose　recognition　are　achieved　using　gait　segmentation　algorithm　and　SVM　algorithm.　And　a　detection　system　experimental　platform　was　built　to　recognize　8　daily　movements　such　as　sitting,　standing,　and　going　up　and　down　stairs,　with　a　recognition　rate　of　93.65%,　laying　the　experimental　foundation　for　motion　parameter　analysis　and　foot　rehabilitation　evaluation.　©　2023　IEEE.