【一步步開發AI運動小程式】十、姿態動作相似度比較

隨著人工智能技術的不斷發展，阿里體育等IT大廠，推出的“樂動力”、“天天跳繩”AI運動APP，讓云上運動會、線上運動會、健身打卡、AI體育指導等概念空前火熱，那么，能否將這些在APP成功應用的場景搬上小程式，分享這些概念的紅利呢？本系列文章就帶您一步一步從零開始開發一個AI運動小程式，本系列文章將使用“云智AI運動識別小程式插件”，請先行在微信服務市場或官網了解詳情，

在姿態、動作、運動檢測時，采用檢測規則計算器雖然非常便捷了，但是為了進一步減少開發者在運動適配中的作業量，方案還提代了一個姿態動作相似度比較功能，本篇就為您介紹此功能的運用，

一、采集樣本動作幀

在進行姿態比較前，需要采集樣本動作幀的人體關鍵點資料，采集樣本幀推薦使用們的“姿態除錯的輔助桌面工具”，具體使用請參考上篇工具的使用，

二、執行姿態比較

姿態相似度比較能力由calc.PoseComparer類提供，

//樣本動作人體關鍵點
const sample = 
 [{y:95.41808288282594,x:214.42673274576924,score:0.51611328125,name:"nose"},
 {y:84.61684727250136,x:221.80983627909686,score:0.7265625,name:"left_eye"},
 {y:87.59059985661885,x:202.12153237356293,score:0.59130859375,name:"right_eye"},
 {y:92.85449529945058,x:234.93538334278358,score:0.814453125,name:"left_ear"},
 {y:99.07546188234281,x:188.58581196413604,score:0.6806640625,name:"right_ear"},
 {y:149.86859452983884,x:271.3040866650822,score:0.7246093153953552,name:"left_shoulder"},
 {y:162.78905492065545,x:158.09624324078422,score:0.82666015625,name:"right_shoulder"},
 {y:236.41516213602512,x:280.8747980656871,score:0.728515625,name:"left_elbow"},
 {y:246.8062369181066,x:156.3188420992395,score:0.55859375,name:"right_elbow"},
 {y:305.46100866896046,x:286.61722490605007,score:0.6591796875,name:"left_wrist"},
 {y:313.80120003234475,x:152.9006975047454,score:0.70849609375,name:"right_wrist"},
 {y:304.5039375289,x:251.342317172392,score:0.87646484375,name:"left_hip"},
 {y:303.68360752741575,x:189.6796075527766,score:0.8740234375,name:"right_hip"},
 {y:431.38422581120494,x:237.66987231438497,score:0.70703125,name:"left_knee"},
 {y:430.01698132540423,x:189.6796075527766,score:0.8017578125,name:"right_knee"},
 {y:529.8258287888553,x:229.19295650242066,score:0.6884765625,name:"left_ankle"},
 {y:534.747908937738,x:201.71134233782658,score:0.578125,name:"right_ankle"}];

//當前幀動作
const frame = 
 [{y:154.06250001297832,x:258.7499999883252,score:0.728515625,name:"nose"},
 {y:143.12500001305142,x:254.37499998835446,score:0.56298828125,name:"left_eye"},
 {y:143.75001908653357,x:255.937499988344,score:0.69482421875,name:"right_eye"},
 {y:143.984394086532,x:229.99999998851743,score:0.43115234375,name:"left_ear"}
 ,{y:146.17187501303107,x:236.09374998847667,score:0.4919433891773224,name:"right_ear"},
 {y:201.4062690861481,x:205.9375190621646,score:0.51416015625,name:"left_shoulder"},
 {y:202.03125001265758,x:227.96874998853102,score:0.66259765625,name:"right_shoulder"},
 {y:281.25001908561427,x:234.6874999884861,score:0.26416015625,name:"left_elbow"},
 {y:270.6250190856853,x:254.06249998835656,score:0.278076171875,name:"right_elbow"},
 {y:246.09376908584932,x:289.06249998812257,score:0.1997070610523224,name:"left_wrist"},
 {y:238.43750001241418,x:300.62499998804526,score:0.50927734375,name:"right_wrist"},
 {y:321.5624618648858,x:218.59376906208004,score:0.58154296875,name:"left_hip"},
 {y:323.43750001184594,x:224.06249998855716,score:0.5615234375,name:"right_hip"},
 {y:453.43750001097675,x:217.34376906208837,score:0.6103515625,name:"left_knee"},
 {y:455.6250000109622,x:214.06249998862396,score:0.51416015625,name:"right_knee"},
 {y:572.5000000101808,x:215.31249998861563,score:0.403564453125,name:"left_ankle"},
 {y:593.1250000100429,x:216.0937499886104,score:0.52294921875,name:"right_ankle"}];

//新建比較器，比較
 const AiSport = requirePlugin("aiSport");
 const poseComparer = new AiSport.calc.PoseComparer();
 const result = poseComparer.compare(sample, frame);
 console.log(result);

//輸出結果
//{items:
//         [{key:"head",score:0.4327263684686711,summary:"頭部偏轉相似度"},
//          {key:"trunk",score:0.8407704975917485,summary:"軀干形態相似度"},
//          {key:"left_hand",score:0.2155245751055277,summary:"左手相似度"},
//          {key:"right_hand",score:0.21361728579451628,summary:"左手相似度"},
//          {key:"left_foot",score:0.5147016736506456,summary:"左腳相似度"},
//          {key:"right_foot",score:0.5190758118853293,summary:"右腳相似度"}],
// score:0.5110266728697409
//}

三、在組合運動中的應用

有的運動不只一個動作，比如開合跳，可以拆解成開、合兩個動作，分別取樣本幀，進行比較即可；如果是區域腳體動作，可以不取整體評分，可以取指定肢體相似度值進行比較，

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