The　purpose　of　this　paper　is　to　propose　a　suitable　comprehensive　evaluation　method　for　motion　similarity　comprehensive　evaluation　of　humanoid　robot.　Different　humanoid　robot　operation　tasks　with　different　complexity　degree　were　selected.　The　indexes　of　humanoid　robot　arm　motion　were　used　in　the　fields　of　robotics　and　ergonomics.　A　static　comprehensive　evaluation　model　was　established　based　on　the　projection　pursuit　evaluation　method.　However,　the　static　evaluation　model　is　only　suitable　for　single　time　point　evaluation　without　the　time　dimension.　A　dynamic　comprehensive　evaluation　method,　based　on　the　projection　pursuit　evaluation　method　with　information　entropy　and　time　degrees,　was　proposed　by　linearly　weighting　the　index　weight　of　the　static　model　at　each　time　point　according　to　the　timing-weighted　vectors.　The　comparison　between　the　motion　similarity　comprehensive　evaluation　results　obtained　from　the　static　and　the　dynamic　comprehensive　evaluation　models　demonstrated　that　the　similarity　in　motion　based　on　the　dynamic　comprehensive　evaluation　model　is　higher.　The　comparison　of　the　reliability,　similarity,　and　dispersion　between　the　static　and　the　dynamic　comprehensive　evaluation　models　showed　that　the　dynamic　comprehensive　evaluation　result　had　better　accuracy,　stability,　and　lower　dispersion,　and　the　result　was　more　reasonable　and　credible.　Therefore,　the　dynamic　comprehensive　evaluation　method　proposed　in　this　paper　is　more　suitable　for　the　motion　similarity　comprehensive　evaluation　of　humanoid　robot　arm.