The　plantar　pressure　of　the　human　body　during　dynamic　motion　was　collected　by　a　set　of　pressure　sensors,　and　used　to　extract　the　kinetic　and　dynamic　characteristics　of　gait.　Fuzzy　C-means　clustering　was　applied　to　identify　the　plantar　pressure　according　to　the　gait　characteristics　and　a　standard　plantar　pressure　model　was　set　up.　Using　the　method　of　approach　degree　in　pattern　recognition,　each　new　data　sample　was　matched　to　the　standard　model.　This　method　was　carried　out　into　the　analysis　of　the　anterior　cruciate　ligament　deficiency　and　appeared　to　be　effective.