{"id":11367,"date":"2026-09-23T09:22:17","date_gmt":"2026-09-23T07:22:17","guid":{"rendered":"https:\/\/spleeft.app\/?p=11367"},"modified":"2026-09-23T09:22:22","modified_gmt":"2026-09-23T07:22:22","slug":"spleeft-%e6%9d%a1%e5%bd%a2%e9%80%9f%e5%ba%a6%e7%ae%97%e6%b3%95","status":"publish","type":"post","link":"https:\/\/spleeft.app\/cn\/spleeft-%e6%9d%a1%e5%bd%a2%e9%80%9f%e5%ba%a6%e7%ae%97%e6%b3%95\/","title":{"rendered":"\u5229\u7528\u771f\u5b9e\u6570\u636e\u6539\u8fdb Spleeft \u7684\u6760\u94c3\u901f\u5ea6\u7b97\u6cd5"},"content":{"rendered":"<p>To improve Spleeft\u2019s bar velocity measurements, I collected recordings alongside a linear encoder during training with the Spanish BMX team in Paris. I rebuilt the iOS algorithm in Python and focused on detecting real rest periods and complete repetitions, where sensor noise could otherwise distort the result.<\/p>\n<p>\u6211\u5728\u4ece\u4e8b\u4f53\u80fd\u8bad\u7ec3\u5de5\u4f5c\u671f\u95f4\uff0c\u5c06\u5f00\u53d1 Spleeft \u4f5c\u4e3a\u4e00\u9879\u4e2a\u4eba\u9879\u76ee\u3002\u7f16\u7a0b\u5e2e\u52a9\u6211\u5c06\u6267\u6559\u4e2d\u7684\u60f3\u6cd5\u8f6c\u5316\u4e3a\u6d4b\u91cf\u6760\u94c3\u901f\u5ea6\u7684\u5de5\u5177\uff0c\u4e5f\u8ba9\u6211\u6709\u673a\u4f1a\u5c55\u793a\u81ea\u5df1\u5728\u5065\u8eab\u623f\u4e4b\u5916\u7684\u80fd\u529b\u3002.<\/p>\n<p>\u968f\u7740\u4eba\u5de5\u667a\u80fd\u8ba9\u7f16\u7a0b\u53d8\u5f97\u66f4\u52a0\u666e\u53ca\uff0c\u6211\u5f00\u59cb\u601d\u8003\u81ea\u5df1\u80fd\u5728\u54ea\u4e2a\u9886\u57df\u505a\u51fa\u6700\u5927\u7684\u8d21\u732e\u3002\u7b54\u6848\u5c31\u5728\u4ee3\u7801\u672c\u8eab\u65e0\u6cd5\u89e3\u51b3\u7684\u90e8\u5206\uff1a\u7406\u89e3\u4f20\u611f\u5668\u6570\u636e\uff0c\u5e76\u5728\u5b9e\u9645\u8bad\u7ec3\u4e2d\u63d0\u9ad8\u6d4b\u91cf\u7ed3\u679c\u7684\u53ef\u9760\u6027\u3002\u6b63\u662f\u8fd9\u4e2a\u95ee\u9898\uff0c\u4fc3\u4f7f\u6211\u5f00\u5c55\u4e86\u8fd9\u4e2a\u7b97\u6cd5\u9879\u76ee\uff0c\u6211\u5e0c\u671b\u5728\u6b64\u4e0e\u5927\u5bb6\u5206\u4eab\u3002.<\/p>\n<p><strong>\u8bd5\u8bd5 Spleeft\uff1a<\/strong> <a href=\"https:\/\/apps.apple.com\/us\/app\/spleeft\/id1606893985\" target=\"_blank\" rel=\"noopener\">\u5728 App Store \u4e0a\u4e0b\u8f7d Spleeft<\/a> \u4f7f\u7528 iPhone \u6216 Apple Watch \u8ffd\u8e2a\u6760\u94c3\u7684\u901f\u5ea6\u3002.<\/p>\n<h2>\u6761\u5f62\u901f\u5ea6\u95ee\u9898\uff1a\u6f02\u79fb\u4e0e\u865a\u5047\u6682\u505c<\/h2>\n<p>\u6211\u4e4b\u524d\u5728\u2026\u2026\u4e2d\u63cf\u8ff0\u8fc7\u7684 Spleeft \u4f18\u5316\uff0c <a href=\"https:\/\/spleeft.app\/data-science-project-behind-spleeft-vbt-ios\/\" target=\"_blank\">\u90a3\u7bc7\u5173\u4e8e\u6570\u636e\u79d1\u5b66\u7684\u539f\u6587<\/a>, \u8be5\u9879\u76ee\u89c4\u6a21\u8f83\u5c0f\u3002\u6211\u4e3b\u8981\u4e13\u6ce8\u4e8e\u8c03\u6574\u73b0\u6709\u7b97\u6cd5\u7684\u53c2\u6570\uff0c\u5e76\u5bfb\u627e\u80fd\u591f\u63d0\u5347\u5176\u6027\u80fd\u7684\u53c2\u6570\u7ec4\u5408\u3002.<\/p>\n<p>\u90a3\u9879\u5de5\u4f5c\u5f88\u6709\u4ef7\u503c\uff0c\u4f46\u5728\u82b1\u66f4\u591a\u65f6\u95f4\u5728\u771f\u5b9e\u7684\u8bad\u7ec3\u73af\u5883\u4e2d\u6d4b\u8bd5Spleeft\u4e4b\u540e\uff0c\u6211\u5f00\u59cb\u610f\u8bc6\u5230\u4e00\u4e2a\u66f4\u6df1\u5c42\u6b21\u7684\u95ee\u9898\u3002.<\/p>\n<p>\u4e3b\u8981\u56f0\u96be\u5e76\u4e0d\u53ea\u662f\u8ba1\u7b97\u901f\u5ea6\u3002.<\/p>\n<p>\u5173\u952e\u5728\u4e8e\u77e5\u9053\u8fd0\u52a8\u4f55\u65f6\u5f00\u59cb\u3001\u4f55\u65f6\u7ed3\u675f\uff0c\u4ee5\u53ca\u8bbe\u5907\u4f55\u65f6\u771f\u6b63\u9759\u6b62\u3002.<\/p>\n<p>Spleeft \u4f7f\u7528\u52a0\u901f\u5ea6\u8ba1\u6570\u636e\u3002\u8981\u8ba1\u7b97\u901f\u5ea6\uff0c\u5fc5\u987b\u5bf9\u52a0\u901f\u5ea6\u8fdb\u884c\u65f6\u95f4\u79ef\u5206\u3002\u8fd9\u79cd\u65b9\u6cd5\u5728\u6570\u5b66\u4e0a\u5f88\u4f18\u96c5\uff0c\u4f46\u4e5f\u4f1a\u5e26\u6765\u4e00\u4e2a\u65e0\u6cd5\u907f\u514d\u7684\u95ee\u9898\uff1a\u5373\u4f7f\u52a0\u901f\u5ea6\u4fe1\u53f7\u4e2d\u5b58\u5728\u5fae\u5c0f\u7684\u504f\u5dee\u6216\u8bef\u5dee\uff0c\u5728\u79ef\u5206\u8fc7\u7a0b\u4e2d\u4e5f\u4f1a\u7d2f\u79ef\uff0c\u4ece\u800c\u5bfc\u81f4\u901f\u5ea6\u6f02\u79fb\u3002.<\/p>\n<p>\u8fd9\u79cd\u504f\u5dee\u53ef\u80fd\u6e90\u4e8e\u4ee5\u4e0b\u51e0\u4e2a\u65b9\u9762\uff1a<\/p>\n<ul>\n<li>\u4f20\u611f\u5668\u566a\u58f0\uff1b;<\/li>\n<li>\u8bbe\u5907\u65b9\u5411\u7684\u5fae\u5c0f\u53d8\u5316\uff1b;<\/li>\n<li>\u8fd0\u52a8\u5e73\u9762\u7684\u53d8\u5316\uff1b;<\/li>\n<li>\u79ef\u5206\u8bef\u5dee\uff1b;<\/li>\n<li>\u8fc7\u6ee4\u4e0d\u5b8c\u5584\uff1b;<\/li>\n<li>\u8fd0\u52a8\u5458\u6216\u6760\u94c3\u4ea7\u751f\u7684\u632f\u52a8\uff1b;<\/li>\n<li>\u5728\u6746\u4f53\u4ecd\u5728\u8fd0\u52a8\u65f6\uff0c\u5b58\u5728\u52a0\u901f\u5ea6\u8f83\u4f4e\u7684\u65f6\u6bb5\u3002.<\/li>\n<\/ul>\n<p>\u6700\u540e\u4e00\u70b9\u5c24\u4e3a\u91cd\u8981\u3002\u52a0\u901f\u5ea6\u63a5\u8fd1\u96f6\u5e76\u4e0d\u603b\u662f\u610f\u5473\u7740\u901f\u5ea6\u4e3a\u96f6\u3002\u8fd9\u4e5f\u53ef\u80fd\u610f\u5473\u7740\u8be5\u6746\u6b63\u5728\u4ee5\u76f8\u5bf9\u6052\u5b9a\u7684\u901f\u5ea6\u8fd0\u52a8\u3002.<\/p>\n<p>Therefore, the real challenge was not simply to find \u201cmore zeros\u201d.<\/p>\n<p>\u8fd9\u662f\u4e3a\u4e86\u627e\u5230\u66f4\u597d\u7684\u96f6\u70b9\u3002.<\/p>\n<p>\u96f6\u70b9\u662f\u4e00\u4e2a\u53ef\u7528\u4e8e\u91cd\u65b0\u6821\u51c6\u79ef\u5206\u901f\u5ea6\u4fe1\u53f7\u7684\u65f6\u523b\u3002\u5982\u679c\u91cd\u590d\u6d4b\u91cf\u5f00\u59cb\u524d\u7684\u96f6\u70b9\u4e0d\u6b63\u786e\uff0c\u79ef\u5206\u5c06\u4ece\u9519\u8bef\u7684\u70b9\u5f00\u59cb\u3002\u5982\u679c\u91cd\u590d\u6d4b\u91cf\u8fc7\u7a0b\u4e2d\u51fa\u73b0\u865a\u5047\u96f6\u70b9\uff0c\u53ef\u80fd\u4f1a\u5bfc\u81f4\u8fd0\u52a8\u88ab\u8fc7\u65e9\u622a\u65ad\u6216\u8fc7\u65e9\u91cd\u65b0\u6821\u51c6\u3002.<\/p>\n\n\n<figure class=\"wp-block-image aligncenter size-large\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"487\" src=\"https:\/\/spleeft.app\/wp-content\/uploads\/2026\/09\/deadlift-velocity-fixed-4-reps-1024x487.png\" alt=\"\u56db\u6b21\u786c\u62c9\u91cd\u590d\u52a8\u4f5c\u4e2d\u7684\u5782\u76f4\u901f\u5ea6\uff0c\u5176\u4e2d\u7070\u8272\u66f2\u7ebf\u4e3a\u539f\u59cb\u8bb0\u5f55\uff0c\u9752\u7eff\u8272\u66f2\u7ebf\u4e3a\u7ecf\u6f02\u79fb\u6821\u6b63\u540e\u7684\u4fe1\u53f7\u7b80\u4f53\u4e2d\u6587\uff08\u5927\u9646\uff09\" class=\"wp-image-11364\" title=\"\" srcset=\"https:\/\/spleeft.app\/wp-content\/uploads\/2026\/09\/deadlift-velocity-fixed-4-reps-1024x487.png 1024w, https:\/\/spleeft.app\/wp-content\/uploads\/2026\/09\/deadlift-velocity-fixed-4-reps-300x143.png 300w, https:\/\/spleeft.app\/wp-content\/uploads\/2026\/09\/deadlift-velocity-fixed-4-reps-2000x951.png 2000w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">\u56db\u6b21\u786c\u62c9\uff1a\u7070\u8272\u66f2\u7ebf\u5728\u52a8\u4f5c\u95f4\u9699\u9010\u6e10\u504f\u79bb\u96f6\u70b9\uff0c\u800c\u6821\u6b63\u540e\u7684\u66f2\u7ebf\u5728\u6682\u505c\u671f\u95f4\u5219\u66f4\u63a5\u8fd1\u96f6\u70b9\u3002.<\/figcaption><\/figure>\n\n\n<p>\u8fd9\u4fc3\u4f7f\u8be5\u9879\u76ee\u786e\u7acb\u4e86\u4e00\u9879\u65b0\u539f\u5219\uff1a<\/p>\n<blockquote>\n<p>\u9996\u5148\u63d0\u9ad8\u9759\u606f\u72b6\u6001\u68c0\u6d4b\u548c\u91cd\u590d\u6bb5\u5206\u5272\u7684\u8d28\u91cf\u3002\u7136\u540e\u8bc4\u4f30\u901f\u5ea6\u3002.<\/p>\n<\/blockquote>\n<h2>\u5728\u5df4\u9ece\u91c7\u96c6\u6746\u901f\u5ea6\u6570\u636e<\/h2>\n<p>\u7b2c\u4e00\u6b65\u662f\u83b7\u5f97\u4e00\u6b3e\u53ef\u4e0eSpleeft\u914d\u5408\u4f7f\u7528\u7684\u53c2\u8003\u8bbe\u5907\u3002.<\/p>\n<p>\u4e00\u5bb6\u77e5\u540d\u7684\u7ebf\u6027\u7f16\u7801\u5668\u5382\u5546\u63a8\u51fa\u4e86\u4e00\u6b3e\u8bbe\u5907\uff0c\u5b83\u4e0d\u4ec5\u80fd\u63d0\u4f9b\u901f\u5ea6\u6570\u636e\uff0c\u8fd8\u80fd\u5728\u771f\u5b9e\u7684\u8bad\u7ec3\u73af\u5883\u4e2d\u91c7\u96c6\u539f\u59cb\u6570\u636e\u3002\u8fd9\u6b63\u662f\u6211\u6240\u9700\u8981\u7684\u3002.<\/p>\n<p>\u5728\u5df4\u9ece\u968f\u897f\u73ed\u7259BMX\u56fd\u5bb6\u961f\u96c6\u8bad\u671f\u95f4\uff0c\u6211\u5728\u8fdb\u884c\u5404\u9879\u8bad\u7ec3\u65f6\u6536\u96c6\u4e86\u4e00\u5927\u6279\u6570\u636e\uff1a<\/p>\n<ul>\n<li>\u6df1\u8e72\uff1b;<\/li>\n<li>\u786c\u62c9\uff1b;<\/li>\n<li>\u529b\u91cf Clean\uff1b;<\/li>\n<li>\u6df1\u8e72\u8df3\uff1b;<\/li>\n<li>\u5176\u4ed6\u7efc\u5408\u529b\u91cf\u8bad\u7ec3\u3002.<\/li>\n<\/ul>\n\n\n<figure class=\"wp-block-image aligncenter size-large is-resized\"><img decoding=\"async\" width=\"576\" height=\"1024\" src=\"https:\/\/spleeft.app\/wp-content\/uploads\/2026\/09\/paris-data-collection-576x1024.jpg\" alt=\"\u897f\u73ed\u7259BMX\u961f\u5728\u5df4\u9ece\u96c6\u8bad\u671f\u95f4\u7684\u529b\u91cf\u8bad\u7ec3\u6570\u636e\u6536\u96c6\" class=\"wp-image-11365\" style=\"width:320px;height:auto\" title=\"\" srcset=\"https:\/\/spleeft.app\/wp-content\/uploads\/2026\/09\/paris-data-collection-576x1024.jpg 576w, https:\/\/spleeft.app\/wp-content\/uploads\/2026\/09\/paris-data-collection-169x300.jpg 169w, https:\/\/spleeft.app\/wp-content\/uploads\/2026\/09\/paris-data-collection.jpg 900w\" sizes=\"(max-width: 576px) 100vw, 576px\" \/><figcaption class=\"wp-element-caption\">\u5728\u897f\u73ed\u7259BMX\u56fd\u5bb6\u961f\u4e8e\u5df4\u9ece\u96c6\u8bad\u671f\u95f4\u6536\u96c6\u529b\u91cf\u8bad\u7ec3\u6570\u636e\u3002.<\/figcaption><\/figure>\n\n\n<p>\u8fd9\u4e9b\u6d4b\u91cf\u6570\u636e\u662f\u540c\u65f6\u91c7\u96c6\u7684\uff1a<\/p>\n<ul>\n<li>Spleeft \u8bb0\u5f55\u4e86\u9ad8\u9891\u52a0\u901f\u5ea6\u8ba1\u6570\u636e\uff0c\u5176\u4e2d\u5305\u62ec\u91c7\u6837\u7387\u9ad8\u8fbe 800 Hz \u7684\u6d4b\u8bd5\uff1b;<\/li>\n<li>\u7ebf\u6027\u7f16\u7801\u5668\u7684\u91c7\u6837\u9891\u7387\u7ea6\u4e3a100 Hz\u3002.<\/li>\n<\/ul>\n<p>\u8fd9\u5e76\u975e\u5728\u5b8c\u5168\u53d7\u63a7\u6761\u4ef6\u4e0b\u6536\u96c6\u7684\u5b9e\u9a8c\u5ba4\u6570\u636e\u96c6\u3002\u8fd9\u662f\u6709\u610f\u4e3a\u4e4b\u3002.<\/p>\n<p>\u6211\u60f3\u4e86\u89e3\uff0c\u5f53\u8be5\u7cfb\u7edf\u5e94\u7528\u4e8e\u6559\u7ec3\u5b9e\u9645\u4f7f\u7528\u5b83\u7684\u73af\u5883\u65f6\u2014\u2014\u5373\u9762\u5bf9\u4e0d\u540c\u7684\u7ec3\u4e60\u3001\u4e0d\u540c\u7684\u8d1f\u8377\u3001\u4e0d\u540c\u7684\u6682\u505c\u65f6\u95f4\u3001\u4e0d\u540c\u7684\u52a8\u4f5c\u7b56\u7565\u4ee5\u53ca\u4e0d\u540c\u7684\u566a\u58f0\u6765\u6e90\u2014\u2014\u4f1a\u53d1\u751f\u4ec0\u4e48\u60c5\u51b5\u3002.<\/p>\n<p>\u8be5\u6570\u636e\u96c6\u8fd8\u4f7f\u6211\u80fd\u591f\u6bd4\u8f83\u4e24\u79cd\u622a\u7136\u4e0d\u540c\u7684\u6d4b\u91cf\u7c7b\u578b\u3002.<\/p>\n<p>\u7f16\u7801\u5668\u6d4b\u91cf\u7684\u662f\u6cbf\u4e00\u6761\u66f4\u660e\u786e\u7684\u673a\u68b0\u8def\u5f84\u4e0a\u7684\u4f4d\u79fb\u3002Apple Watch \u6216 iPhone \u5219\u6d4b\u91cf\u4f5c\u7528\u5728\u8bbe\u5907\u3001\u6760\u94c3\u4e0a\uff0c\u4ee5\u53ca\u95f4\u63a5\u4f5c\u7528\u5728\u8fd0\u52a8\u5458\u8eab\u4e0a\u7684\u529b\u3002\u5b83\u4eec\u68c0\u6d4b\u5230\u7684\u4fe1\u53f7\u5e76\u4e0d\u5b8c\u5168\u76f8\u540c\u3002.<\/p>\n<p>\u8fd9\u4e00\u5dee\u5f02\u6210\u4e3a\u4e86\u8be5\u9879\u76ee\u6700\u91cd\u8981\u7684\u7ecf\u9a8c\u6559\u8bad\u4e4b\u4e00\u3002.<\/p>\n<h2>\u7528 Python \u91cd\u6784 Spleeft<\/h2>\n<p>\u5728\u8fdb\u884c\u4efb\u4f55\u4f18\u5316\u4e4b\u524d\uff0c\u6211\u5fc5\u987b\u5148\u5728\u5e94\u7528\u7a0b\u5e8f\u4e4b\u5916\u91cd\u73b0\u73b0\u6709\u7684 iOS \u7b97\u6cd5\u3002.<\/p>\n<p>\u8fd9\u542c\u8d77\u6765\u5f88\u7b80\u5355\uff0c\u4f46\u8fd9\u5374\u662f\u6574\u4e2a\u8fc7\u7a0b\u4e2d\u6700\u91cd\u8981\u7684\u73af\u8282\u4e4b\u4e00\u3002.<\/p>\n<p>\u8be5\u751f\u6210\u7b97\u6cd5\u5728 iPhone \u548c Apple Watch \u4e0a\u4f7f\u7528 Swift \u8fd0\u884c\u3002\u4e0d\u8fc7\uff0c\u4f18\u5316\u5de5\u4f5c\u5728 Python \u4e2d\u8fdb\u884c\u8981\u5bb9\u6613\u5f97\u591a\uff0c\u56e0\u4e3a\u5728 Python \u4e2d\u6211\u53ef\u4ee5\u5904\u7406\u5927\u578b\u6570\u636e\u96c6\u3001\u751f\u6210\u56fe\u8868\uff0c\u5e76\u6d4b\u8bd5\u6210\u5343\u4e0a\u4e07\u751a\u81f3\u6570\u767e\u4e07\u79cd\u53c2\u6570\u7ec4\u5408\u3002.<\/p>\n<p>\u95ee\u9898\u5728\u4e8e\uff0c\u4ec5\u9760 Python \u7684\u8fd1\u4f3c\u8ba1\u7b97\u662f\u4e0d\u591f\u7684\u3002.<\/p>\n<p>\u5982\u679c Python \u7248\u672c\u7684\u884c\u4e3a\u4e0e Swift \u7248\u672c\u4e0d\u540c\uff0c\u6211\u5c31\u4e0d\u4f1a\u53bb\u4f18\u5316 Spleeft \u4e86\u3002\u6211\u4f1a\u53bb\u4f18\u5316\u53e6\u4e00\u4e2a\u7b97\u6cd5\u3002.<\/p>\n<p>\u56e0\u6b64\uff0c\u6211\u5f00\u53d1\u4e86\u4e00\u4e2a Python \u6a21\u62df\u5668\uff0c\u7528\u4e8e\u91cd\u73b0 iOS \u5b9e\u73b0\u4e2d\u7684\u4e3b\u8981\u5904\u7406\u9636\u6bb5\uff1a<\/p>\n<ol>\n<li>\u8bfb\u53d6\u52a0\u901f\u5ea6\u8ba1\u548c\u8fd0\u52a8\u6570\u636e\uff1b;<\/li>\n<li>\u901f\u5ea6\u91cd\u5efa\uff1b;<\/li>\n<li>\u68c0\u6d4b\u96f6\u901f\u5ea6\u66f4\u65b0\uff1b;<\/li>\n<li>\u8865\u507f\u4fe1\u53f7\u6f02\u79fb\uff1b;<\/li>\n<li>\u5c06\u91cd\u590d\u5185\u5bb9\u5206\u6bb5\uff1b;<\/li>\n<li>\u8ba1\u7b97\u5e73\u5747\u901f\u5ea6\u53ca\u5176\u4ed6\u6307\u6807\u3002.<\/li>\n<\/ol>\n<p>\u968f\u540e\uff0c\u6211\u6839\u636e Swift \u7684\u8f93\u51fa\u7ed3\u679c\u5bf9\u6a21\u62df\u5668\u8fdb\u884c\u4e86\u9a8c\u8bc1\u3002\u76ee\u7684\u5e76\u975e\u4e3a\u4e86\u5f97\u5230\u76f8\u4f3c\u7684\u7ed3\u679c\uff0c\u800c\u662f\u4e3a\u4e86\u786e\u4fdd\u76f8\u540c\u7684\u539f\u59cb\u4fe1\u53f7\u80fd\u4ea7\u751f\u76f8\u540c\u7684\u91cd\u590d\u6b21\u6570\u4ee5\u53ca\u51e0\u4e4e\u76f8\u540c\u7684\u6307\u6807\u3002.<\/p>\n<p>\u53ea\u6709\u5b8c\u6210\u8fd9\u4e00\u6b65\uff0c\u4f18\u5316\u624d\u6709\u610f\u4e49\u3002.<\/p>\n<h2>\u8d85\u8d8a\u539f\u59cb\u7684\u96f6\u70b9\u63a2\u6d4b\u5668<\/h2>\n<p>\u8be5\u7b97\u6cd5\u7684\u7b2c\u4e00\u7248\u5df2\u7ecf\u5305\u542b\u4e86\u96f6\u901f\u5ea6\u91cd\u65b0\u6821\u51c6\u529f\u80fd\uff0c\u4f46\u5176\u903b\u8f91\u76f8\u5bf9\u7b80\u5355\u3002.<\/p>\n<p>\u5728\u53d7\u63a7\u73af\u5883\u4e0b\uff0c\u8be5\u8bbe\u5907\u8868\u73b0\u826f\u597d\u3002\u7136\u800c\uff0c\u67d0\u4e9b\u8bad\u7ec3\u9879\u76ee\u66b4\u9732\u4e86\u5176\u4e0d\u8db3\u4e4b\u5904\u3002\u5367\u63a8\u548c\u786c\u62c9\u5c24\u5176\u5177\u6709\u6311\u6218\u6027\uff0c\u56e0\u4e3a\u5f53\u8fd0\u52a8\u5458\u7a33\u5b9a\u6760\u94c3\u65f6\uff0c\u8bbe\u5907\u53ef\u80fd\u4f1a\u4ea7\u751f\u989d\u5916\u7684\u6643\u52a8\u3002.<\/p>\n<p>\u6211\u5f00\u59cb\u4ece\u79d1\u5b66\u6587\u732e\u4ee5\u53ca\u76f8\u5173\u7684\u60ef\u6027\u5bfc\u822a\u5e94\u7528\u4e2d\uff0c\u7814\u7a76\u5176\u4ed6\u96f6\u901f\u5ea6\u68c0\u6d4b\u65b9\u6cd5\u3002.<\/p>\n<p>\u5176\u4e2d\u7684\u4e00\u4e9b\u60f3\u6cd5\u5305\u62ec\uff1a<\/p>\n<ul>\n<li>\u591a\u8f74\u6ee4\u6ce2\u52a0\u901f\u5ea6\uff1b;<\/li>\n<li>\u9640\u87ba\u4eea\u4fe1\u606f\uff1b;<\/li>\n<li>\u8fde\u7eed\u6837\u672c\u95f4\u7684\u6301\u4e45\u6027\u8981\u6c42\uff1b;<\/li>\n<li>\u8fd0\u52a8\u80fd\uff1b;<\/li>\n<li>\u57fa\u4e8e\u6f02\u79fb\u7684\u68c0\u67e5\uff1b;<\/li>\n<li>\u4fdd\u5b88\u578b\u7edf\u8ba1\u68c0\u6d4b\u5668\uff1b;<\/li>\n<li>\u9488\u5bf9\u8fd0\u52a8\u7684\u4e0d\u540c\u72b6\u6001\u8bbe\u5b9a\u4e0d\u540c\u7684\u9608\u503c\u3002.<\/li>\n<\/ul>\n<p>\u5e76\u975e\u6bcf\u4e2a\u60f3\u6cd5\u90fd\u594f\u6548\u3002.<\/p>\n<p>\u4f8b\u5982\uff0c\u6211\u7814\u7a76\u4e86\u4e00\u79cd\u57fa\u4e8e\u51b3\u7b56\u6811\u7684\u60ef\u6027\u72b6\u6001\u5206\u7c7b\u5668\u3002\u8fd9\u662f\u4e00\u9879\u6709\u7528\u7684\u6570\u636e\u79d1\u5b66\u5b9e\u9a8c\uff0c\u4f46\u5176\u6027\u80fd\u4e0d\u591f\u53ef\u9760\uff0c\u56e0\u6b64\u65e0\u6cd5\u5728\u751f\u4ea7\u7b97\u6cd5\u4e2d\u4f5c\u4e3a\u786c\u6027\u5426\u51b3\u6761\u4ef6\u3002.<\/p>\n<p>\u8fd9\u662f\u4e00\u4e2a\u91cd\u8981\u7684\u533a\u522b\u3002.<\/p>\n<p>\u8be5\u9879\u76ee\u6d89\u53ca\u673a\u5668\u5b66\u4e60\u5b9e\u9a8c\u548c\u6570\u636e\u79d1\u5b66\u65b9\u6cd5\uff0c\u4f46\u6700\u7ec8\u6295\u5165\u751f\u4ea7\u7684\u89e3\u51b3\u65b9\u6848\u5e76\u975e\u4e00\u4e2a\u4ec5\u4ec5\u5bf9\u6bcf\u4e2a\u6837\u672c\u8fdb\u884c\u5206\u7c7b\u7684\u201c\u9ed1\u7bb1\u201d\u6a21\u578b\u3002\u6570\u636e\u79d1\u5b66\u6d41\u7a0b\u5e2e\u52a9\u6211\u7406\u89e3\u4e86\u4fe1\u53f7\u7279\u5f81\uff0c\u8bc6\u522b\u4e86\u6545\u969c\u6a21\u5f0f\uff0c\u5e76\u8bbe\u8ba1\u51fa\u4e86\u4e00\u4e2a\u66f4\u5065\u58ee\u7684\u56e0\u679c\u72b6\u6001\u673a\u3002.<\/p>\n<p>\u6700\u7ec8\u7684\u7cfb\u7edf\u4ecd\u7136\u5177\u6709\u53ef\u89e3\u91ca\u6027\u3002.<\/p>\n<h2>\u5728\u6570\u767e\u4e07\u79cd\u53ef\u80fd\u6027\u4e2d\u8fdb\u884c\u641c\u7d22<\/h2>\n<p>\u5728\u6a21\u62df\u5668\u548c\u5019\u9009\u63a2\u6d4b\u5668\u51c6\u5907\u5c31\u7eea\u540e\uff0c\u6211\u5f00\u59cb\u8fdb\u884c\u7cfb\u7edf\u6027\u7684\u53c2\u6570\u641c\u7d22\u3002.<\/p>\n<p>\u5bf9\u4e8e\u6bcf\u79cd\u5019\u9009\u914d\u7f6e\uff0c\u90fd\u4f1a\u5bf9\u76f8\u540c\u7684\u539f\u59cb\u4fe1\u53f7\u8fdb\u884c\u91cd\u65b0\u5904\u7406\u3002\u8fd9\u4e9b\u53c2\u6570\u63a7\u5236\u4e86\u4ee5\u4e0b\u65b9\u9762\uff1a<\/p>\n<ul>\n<li>\u52a0\u901f\u5ea6\u9608\u503c\uff1b;<\/li>\n<li>\u8fde\u7eed\u6837\u672c\u7684\u6700\u5c0f\u6570\u91cf\uff1b;<\/li>\n<li>\u8fc7\u6ee4\u884c\u4e3a\uff1b;<\/li>\n<li>\u79fb\u52a8\u6761\u76ee\u89c4\u5219\uff1b;<\/li>\n<li>\u79fb\u52a8-\u9000\u51fa\u89c4\u5219\uff1b;<\/li>\n<li>\u91cd\u65b0\u6821\u51c6\u524d\u6240\u9700\u7684\u8bc1\u636e\u91cf\uff1b;<\/li>\n<li>\u8be5\u7cfb\u7edf\u662f\u5982\u4f55\u5904\u7406\u8fd0\u52a8\u4e0e\u9759\u6b62\u4e4b\u95f4\u7684\u8fc7\u6e21\u7684\u3002.<\/li>\n<\/ul>\n<p>\u6b64\u6b21\u641c\u7d22\u5e76\u975e\u65e8\u5728\u5bfb\u627e\u76f8\u5bf9\u4e8e\u7f16\u7801\u5668\u7684\u901f\u5ea6\u8bef\u5dee\u6700\u5c0f\u7684\u914d\u7f6e\u3002.<\/p>\n<p>\u90a3\u6837\u5c31\u592a\u72ed\u9698\u4e86\u3002.<\/p>\n<p>\u7b2c\u4e00\u4e2a\u76ee\u6807\u662f\u786e\u5b9a\u4e00\u79cd\u80fd\u591f\u6700\u597d\u5730\u68c0\u6d4b\u771f\u5b9e\u96f6\u901f\u5ea6\u65f6\u6bb5\uff0c\u540c\u65f6\u907f\u514d\u5728\u6d3b\u52a8\u671f\u95f4\u51fa\u73b0\u865a\u5047\u96f6\u70b9\u7684\u7ec4\u5408\u3002.<\/p>\n<p>\u8bc4\u4f30\u9075\u5faa\u4ee5\u4e0b\u7ea7\u8054\u6d41\u7a0b\uff1a<\/p>\n<ol>\n<li>\u8fd9\u4e9b\u6709\u6548\u96f6\u70b9\u662f\u5426\u88ab\u6b63\u786e\u68c0\u6d4b\u5230\u4e86\uff1f<\/li>\n<li>\u91cd\u590d\u90e8\u5206\u662f\u5426\u5df2\u88ab\u6b63\u786e\u5212\u5206\u5e76\u8ba1\u6570\uff1f<\/li>\n<li>\u4e00\u65e6\u524d\u4e24\u4e2a\u6761\u4ef6\u90fd\u6ee1\u8db3\uff0c\u901f\u5ea6\u6307\u6807\u4e0e\u5916\u90e8\u53c2\u8003\u503c\u7684\u63a5\u8fd1\u7a0b\u5ea6\u5982\u4f55\uff1f<\/li>\n<\/ol>\n<p>\u8fd9\u4e2a\u987a\u5e8f\u5f88\u91cd\u8981\u3002.<\/p>\n<p>\u5982\u679c\u91cd\u590d\u8fd0\u52a8\u7684\u8d77\u59cb\u70b9\u6216\u7ec8\u70b9\u662f\u7531\u865a\u5047\u96f6\u70b9\u5b9a\u4e49\u7684\uff0c\u90a3\u4e48\u5373\u4f7f\u5176\u901f\u5ea6\u63a5\u8fd1\u7f16\u7801\u5668\uff0c\u8be5\u91cd\u590d\u8fd0\u52a8\u4e5f\u4e0d\u4e00\u5b9a\u5c31\u662f\u6d4b\u91cf\u6b63\u786e\u7684\u3002.<\/p>\n<p>\u8fd9\u4e9b\u6570\u636e\u53ea\u662f\u6211\u8bc4\u4f30\u6bcf\u6b21\u5b9e\u9a8c\u7684\u53c2\u8003\u4f9d\u636e\u4e4b\u4e00\u3002\u6211\u5c06\u539f\u59cb\u8bb0\u5f55\u548c\u751f\u6210\u7684\u901f\u5ea6\u66f2\u7ebf\u4fdd\u6301\u5728\u53ef\u89c1\u72b6\u6001\uff0c\u7136\u540e\u5bf9\u7167\u6211\u5728\u81ea\u8eab\u8bad\u7ec3\u4ee5\u53ca\u4e0e\u8fd0\u52a8\u5458\u8fdb\u884c\u6d4b\u8bd5\u65f6\u89c2\u5bdf\u5230\u7684\u52a8\u4f5c\u8fdb\u884c\u68c0\u67e5\u3002 \u5f53\u51fa\u73b0\u660e\u663e\u7684\u505c\u987f\u65f6\uff0c\u6211\u53ef\u4ee5\u89c2\u5bdf\u7b97\u6cd5\u662f\u5426\u5c06\u901f\u5ea6\u503c\u5f52\u96f6\uff1b\u5f53\u52a8\u4f5c\u4ecd\u5728\u6301\u7eed\u65f6\uff0c\u6211\u5219\u80fd\u53d1\u73b0\u9519\u8bef\u7684\u4fee\u6b63\u3002\u8fd9\u4e9b\u7b80\u5355\u7684\u76ee\u89c6\u68c0\u67e5\uff0c\u5f80\u5f80\u6bd4\u53e6\u4e00\u4e2a\u9519\u8bef\u8bc4\u5206\u66f4\u80fd\u544a\u8bc9\u6211\u63a5\u4e0b\u6765\u8be5\u505a\u54ea\u4e9b\u8c03\u6574\u3002.<\/p>\n<h2>\u7528\u4e8e\u8fd0\u52a8\u7684\u72b6\u6001\u673a<\/h2>\n<p>\u4e3b\u8981\u67b6\u6784\u6539\u8fdb\u4e4b\u4e00\u662f\u6dfb\u52a0\u4e86\u4e00\u4e2a\u72b6\u6001\u673a\uff0c\u4ee5\u8865\u5145\u96f6\u68c0\u6d4b\u529f\u80fd\u3002.<\/p>\n<p>\u8be5\u7b97\u6cd5\u73b0\u5728\u5c06\u8fd0\u52a8\u89c6\u4e3a\u4e00\u7cfb\u5217\u72b6\u6001\u6765\u8fdb\u884c\u63a8\u7406\uff0c\u800c\u4e0d\u662f\u5c06\u6bcf\u4e2a\u6837\u672c\u5355\u72ec\u5904\u7406\u3002.<\/p>\n<p>\u7b80\u800c\u8a00\u4e4b\uff0c\u5b83\u4f1a\u7ecf\u5386\u4ee5\u4e0b\u51e0\u79cd\u72b6\u6001\uff1a<\/p>\n<ul>\n<li>\u5bfb\u627e\u8fd0\u52a8\u7684\u8d77\u70b9\uff1b;<\/li>\n<li>\u68c0\u6d4b\u5230\u8fd0\u52a8\uff1b;<\/li>\n<li>\u5bfb\u627e\u8fd0\u52a8\u7684\u7ec8\u70b9\uff1b;<\/li>\n<li>\u786e\u8ba4\u8fd0\u52a8\u540e\u786e\u5b9e\u8fdb\u884c\u4e86\u4f11\u606f\uff1b;<\/li>\n<li>\u5bf9\u4fe1\u53f7\u8fdb\u884c\u91cd\u65b0\u6821\u51c6\u3002.<\/li>\n<\/ul>\n<p>\u8fd9\u79cd\u7ed3\u6784\u6709\u52a9\u4e8e\u9632\u6b62\u5b64\u7acb\u7684\u4f20\u611f\u5668\u4e8b\u4ef6\u7acb\u5373\u6539\u53d8\u5bf9\u91cd\u590d\u73b0\u8c61\u7684\u89e3\u91ca\u3002.<\/p>\n<p>\u4f8b\u5982\uff0c\u5728\u79fb\u52a8\u6761\u5f62\u56fe\u4e2d\u51fa\u73b0\u7684\u4e00\u6bb5\u77ed\u6682\u4f4e\u52a0\u901f\u5ea6\u65f6\u6bb5\uff0c\u4e0d\u5e94\u81ea\u52a8\u88ab\u89e3\u91ca\u4e3a\u9759\u6b62\u72b6\u6001\u3002\u7cfb\u7edf\u9700\u8981\u989d\u5916\u7684\u8bc1\u636e\uff1a\u4fe1\u53f7\u7684\u65b9\u5411\u3001\u4e8b\u4ef6\u7684\u6301\u7eed\u65f6\u95f4\u4ee5\u53ca\u66f4\u5e7f\u6cdb\u7684\u8fd0\u52a8\u80cc\u666f\u3002.<\/p>\n<p>\u72b6\u6001\u673a\u8fd8\u8ba9\u6211\u5f97\u4ee5\u5c06\u4e24\u4e2a\u6b64\u524d\u8054\u7cfb\u8fc7\u4e8e\u7d27\u5bc6\u7684\u6982\u5ff5\u533a\u5206\u5f00\u6765\uff1a<\/p>\n<ul>\n<li>\u68c0\u6d4b\u6761\u5f62\u662f\u5426\u5728\u79fb\u52a8\uff1b;<\/li>\n<li>\u51b3\u5b9a\u662f\u5426\u53ef\u4ee5\u5bf9\u7efc\u5408\u901f\u5ea6\u8fdb\u884c\u91cd\u65b0\u6821\u51c6\u3002.<\/li>\n<\/ul>\n<p>\u8fd9\u4e00\u70b9\u7279\u522b\u6709\u7528\uff0c\u56e0\u4e3a\u5373\u4f7f\u52a0\u901f\u5ea6\u6682\u65f6\u63a5\u8fd1\u96f6\uff0c\u8fd0\u52a8\u72b6\u6001\u4ecd\u53ef\u4fdd\u6301\u6d3b\u8dc3\u3002.<\/p>\n<h2>What the encoder could\u2014and could not\u2014tell me<\/h2>\n<p>\u6211\u5c06\u7f16\u7801\u5668\u7528\u4f5c\u5916\u90e8\u53c2\u8003\uff0c\u4f46\u5e76\u672a\u5c06\u5176\u89c6\u4e3a\u65e0\u53ef\u7f6e\u7591\u7684\u771f\u5b9e\u503c\u3002.<\/p>\n<p>For every repetition, I processed the encoder data using a comparable methodology rather than simply copying the metrics exported by its proprietary algorithm. This reduced the influence of differences between the encoder\u2019s internal processing and Spleeft\u2019s processing.<\/p>\n<p>\u5373\u4fbf\u5982\u6b64\uff0c\u8be5\u7f16\u7801\u5668\u4e5f\u4ec5\u88ab\u89c6\u4e3a\u53c2\u8003\uff0c\u800c\u975e\u7edd\u5bf9\u6807\u51c6\u3002.<\/p>\n<p>\u4e0d\u540c\u7684\u8bbe\u5907\u5177\u6709\u4e0d\u540c\u7684\u6ee4\u6ce2\u5668\u3001\u5ef6\u8fdf\u3001\u68c0\u6d4b\u89c4\u5219\u548c\u673a\u68b0\u9650\u5236\u3002\u5bfc\u51fa\u7684\u4fe1\u53f7\u4e5f\u53ef\u80fd\u4e0e\u5185\u90e8\u7528\u4e8e\u8ba1\u7b97\u5404\u9879\u6307\u6807\u7684\u4fe1\u53f7\u5e76\u4e0d\u5b8c\u5168\u76f8\u540c\u3002.<\/p>\n<p>\u8fd9\u5c31\u662f\u4e3a\u4ec0\u4e48\u6211\u51b3\u5b9a\u4e0d\u5c06\u6210\u529f\u7b80\u5355\u5730\u5b9a\u4e49\u4e3a\uff1a<\/p>\n<blockquote>\n<p>\u201cThe Spleeft value is close to the encoder value.\u201d<\/p>\n<\/blockquote>\n<p>\u76f8\u53cd\uff0c\u6211\u5bfb\u627e\u7684\u662f\u4e00\u79cd\u5185\u90e8\u4e00\u81f4\u3001\u80fd\u6b63\u786e\u68c0\u6d4b\u91cd\u590d\uff0c\u5e76\u5728\u4e0d\u540c\u7684\u7ec3\u4e60\u548c\u8bb0\u5f55\u6761\u4ef6\u4e0b\u8868\u73b0\u7a33\u5065\u7684\u7b97\u6cd5\u3002.<\/p>\n<p>\u7f16\u7801\u5668\u5e2e\u52a9\u6211\u53d1\u73b0\u4e86\u9519\u8bef\uff0c\u5e76\u534f\u52a9\u6211\u8c03\u67e5\u4e86\u68d8\u624b\u7684\u60c5\u51b5\u3002\u5b83\u5e76\u6ca1\u6709\u53d6\u4ee3\u6279\u5224\u6027\u601d\u7ef4\u3002.<\/p>\n<h2>\u4f7f\u7528\u771f\u5b9e\u7528\u6237\u6570\u636e\u5bf9\u7b97\u6cd5\u8fdb\u884c\u6d4b\u8bd5<\/h2>\n<p>\u5b8c\u6210\u5b9e\u9a8c\u5ba4\u5b9e\u9a8c\u540e\uff0c\u6211\u53c8\u56de\u8fc7\u5934\u6765\u5206\u6790\u4e86\u5728\u53d7\u63a7\u5b9e\u9a8c\u4e4b\u5916\u6536\u96c6\u7684\u6570\u636e\u3002.<\/p>\n<p>\u5176\u4e2d\u4e00\u4e9b\u6700\u6709\u7528\u7684\u6587\u4ef6\u6765\u81eaSpleeft\u7528\u6237\uff0c\u4ed6\u4eec\u5206\u4eab\u4e86\u8be5\u5e94\u7528\u7a0b\u5e8f\u4ea7\u751f\u610f\u5916\u7ed3\u679c\u7684\u6848\u4f8b\u793a\u4f8b\u3002.<\/p>\n<p>\u8fd9\u4e9b\u6587\u4ef6\u4e4b\u6240\u4ee5\u6709\u4ef7\u503c\uff0c\u662f\u56e0\u4e3a\u5b83\u4eec\u5305\u542b\u4e86\u73b0\u5b9e\u751f\u6d3b\u4e2d\u51fa\u73b0\u7684\u95ee\u9898\uff1a<\/p>\n<ul>\n<li>\u4e0d\u5b8c\u7f8e\u7684\u505c\u987f\uff1b;<\/li>\n<li>\u610f\u5916\u7684\u6746\u632f\u52a8\uff1b;<\/li>\n<li>\u7f13\u6162\u7684\u91cd\u590d\u52a8\u4f5c\uff1b;<\/li>\n<li>\u4e0d\u540c\u7684\u5b89\u88c5\u4f4d\u7f6e\uff1b;<\/li>\n<li>\u6280\u672f\u4e0a\u7684\u53d8\u5316\uff1b;<\/li>\n<li>\u91cd\u590d\u524d\u6216\u91cd\u590d\u540e\u7684\u566a\u58f0\uff1b;<\/li>\n<li>\u90a3\u4e9b\u52a8\u4f5c\u5f62\u5f0f\u4e0e\u6df1\u8e72\u4e0d\u540c\u7684\u7ec3\u4e60\u3002.<\/li>\n<\/ul>\n<p>\u6211\u5c06\u65b0\u7b97\u6cd5\u5e94\u7528\u4e8e\u8fd9\u4e9b\u5386\u53f2\u6570\u636e\u96c6\uff0c\u5e76\u5c06\u5176\u8fd0\u884c\u60c5\u51b5\u4e0e\u4e4b\u524d\u7684\u5b9e\u73b0\u8fdb\u884c\u4e86\u6bd4\u8f83\u3002.<\/p>\n<p>\u8fd9\u4e00\u9636\u6bb5\u5e2e\u52a9\u6211\u4eec\u8ba4\u8bc6\u5230\u4e00\u4e2a\u91cd\u8981\u539f\u5219\uff1a\u6539\u8fdb\u7b97\u6cd5\u5e76\u4e0d\u610f\u5473\u7740\u4e0d\u60dc\u4e00\u5207\u4ee3\u4ef7\u8ba9\u5b83\u53d8\u5f97\u66f4\u590d\u6742\u3002\u8fd9\u610f\u5473\u7740\u8981\u8ba9\u7b97\u6cd5\u903b\u8f91\u66f4\u597d\u5730\u9002\u5e94\u4f20\u611f\u5668\u548c\u8fd0\u52a8\u9879\u76ee\u7684\u5b9e\u9645\u72b6\u51b5\u3002.<\/p>\n<p>\u90a3\u6bb5\u7ecf\u5386\u4e5f\u5851\u9020\u4e86 <a href=\"https:\/\/spleeft.app\/smart-zero-apple-watch-control-vbt-update\/\" target=\"_blank\">Spleeft\u7684\u6700\u65b0\u66f4\u65b0<\/a>. <a href=\"https:\/\/spleeft.app\/accurate-velocity-with-spleeft\/\" target=\"_blank\">\u52a0\u901f\u5ea6\u8ba1\u7684\u6d4b\u91cf\u5b58\u5728\u5c40\u9650\u6027<\/a>, \uff0c\u5373\u4f7f\u7ecf\u8fc7\u4ed4\u7ec6\u4f18\u5316\uff0c\u60c5\u51b5\u4f9d\u7136\u5982\u6b64\uff0c\u56e0\u6b64\u6211\u5e0c\u671b\u6559\u7ec3\u4eec\u80fd\u591f\u68c0\u67e5\u5e95\u5c42\u7684\u8bb0\u5f55\uff0c\u5e76\u6839\u636e\u81ea\u8eab\u60c5\u51b5\u5224\u65ad\u7ed3\u679c\u662f\u5426\u53ef\u9760\u3002.<\/p>\n<h2>Testing on a \u20ac40 Apple Watch SE<\/h2>\n<p>\u6211\u8fd8\u60f3\u5728\u771f\u6b63\u7684 Apple Watch \u4e0a\u6d4b\u8bd5\u8fd9\u4e2a\u65b0\u7b97\u6cd5\uff0c\u800c\u4e0d\u662f\u4ec5\u4f9d\u8d56 Python \u6a21\u62df\u3002.<\/p>\n<p>To keep the project aligned with Spleeft\u2019s original philosophy, I bought a second-hand Apple Watch SE for approximately \u20ac40. It was one of the least expensive models capable of running the application and processing the signal in real time.<\/p>\n\n\n<figure class=\"wp-block-image aligncenter size-large is-resized\"><img decoding=\"async\" width=\"768\" height=\"1024\" src=\"https:\/\/spleeft.app\/wp-content\/uploads\/2026\/09\/apple-watch-encoder-on-bar-768x1024.jpg\" alt=\"\u5728\u4e0e\u7ebf\u6027\u7f16\u7801\u5668\u8fdb\u884c\u73b0\u573a\u6d4b\u8bd5\u65f6\uff0cApple Watch\u88ab\u56fa\u5b9a\u5728\u6a2a\u6746\u4e0a\" class=\"wp-image-11366\" style=\"width:360px;height:auto\" title=\"\" srcset=\"https:\/\/spleeft.app\/wp-content\/uploads\/2026\/09\/apple-watch-encoder-on-bar-768x1024.jpg 768w, https:\/\/spleeft.app\/wp-content\/uploads\/2026\/09\/apple-watch-encoder-on-bar-225x300.jpg 225w, https:\/\/spleeft.app\/wp-content\/uploads\/2026\/09\/apple-watch-encoder-on-bar.jpg 1200w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/><figcaption class=\"wp-element-caption\">\u5728\u73b0\u573a\u6d4b\u8bd5\u671f\u95f4\uff0cApple Watch\u88ab\u5b89\u88c5\u5728\u4e0e\u7f16\u7801\u5668\u5e76\u6392\u7684\u6a2a\u6746\u4e0a\u3002.<\/figcaption><\/figure>\n\n\n<p>\u8fd9\u4e0d\u4ec5\u4ec5\u662f\u4e00\u6b21\u5b9e\u8df5\u6d4b\u8bd5\u3002.<\/p>\n<p>Spleeft \u7684\u5f00\u53d1\u59cb\u7ec8\u56f4\u7ed5\u7740\u201c\u57fa\u4e8e\u901f\u5ea6\u7684\u8bad\u7ec3\u5e94\u5f53\u89e6\u624b\u53ef\u53ca\u201d\u8fd9\u4e00\u7406\u5ff5\u3002\u5982\u679c\u4e00\u79cd\u65b0\u7b97\u6cd5\u53ea\u80fd\u5728\u6700\u6602\u8d35\u7684\u8bbe\u5907\u4e0a\u8fd0\u884c\uff0c\u6216\u8005\u53ea\u80fd\u5728\u5b8c\u7f8e\u7684\u5b9e\u9a8c\u5ba4\u73af\u5883\u4e2d\u8fd0\u884c\uff0c\u90a3\u5c31\u4e0d\u7b26\u5408\u8be5\u9879\u76ee\u7684\u521d\u8877\u3002.<\/p>\n<p>\u5728\u73b0\u573a\u6d4b\u8bd5\u671f\u95f4\uff0c\u6211\u5bf9\u6bd4\u4e86\u4e24\u79cd\u653e\u7f6e\u65b9\u5f0f\uff1a<\/p>\n<ul>\n<li>the watch on the athlete\u2019s wrist;<\/li>\n<li>\u624b\u8868\u76f4\u63a5\u56fa\u5b9a\u5728\u6a2a\u6746\u4e0a\u3002.<\/li>\n<\/ul>\n<p>\u8fd9\u8868\u660e\u4e86\u4f20\u611f\u5668\u653e\u7f6e\u4f4d\u7f6e\u7684\u91cd\u8981\u6027\u3002.<\/p>\n<p>In deadlifts and bench press, the movement of the athlete\u2019s wrist can introduce additional noise. The athlete is holding and stabilising the bar, so the sensor is not only measuring the bar\u2019s vertical movement. It is also measuring small movements from the hand, wrist and body.<\/p>\n<p>\u5c06\u624b\u8868\u76f4\u63a5\u653e\u5728\u6a2a\u6746\u4e0a\uff0c\u80fd\u51cf\u8f7b\u90e8\u5206\u566a\u97f3\u3002.<\/p>\n<p>\u8fd9\u5e76\u4e0d\u610f\u5473\u7740\u6a2a\u6746\u4f4d\u7f6e\u603b\u662f\u6700\u4f73\u9009\u62e9\uff0c\u4e5f\u4e0d\u610f\u5473\u7740\u624b\u8155\u4f4d\u7f6e\u662f\u9519\u8bef\u7684\u3002\u8fd9\u610f\u5473\u7740\uff0c\u6700\u4f73\u7b97\u6cd5\u4e5f\u9700\u8981\u8003\u8651\u5230\u786c\u4ef6\u7684\u5c40\u9650\u6027\u4ee5\u53ca\u8bbe\u5907\u7684\u4f7f\u7528\u65b9\u5f0f\u3002.<\/p>\n<p>\u65e0\u8bba\u6570\u636e\u79d1\u5b66\u591a\u4e48\u5148\u8fdb\uff0c\u90fd\u65e0\u6cd5\u5b8c\u5168\u5f25\u8865\u6d4b\u91cf\u65b9\u6848\u7684\u7f3a\u9677\u3002.<\/p>\n<h2>What changed in Spleeft\u2019s algorithm<\/h2>\n<p>\u65b0\u7b97\u6cd5\u5df2\u8d70\u51fa\u6d4b\u8bd5\u9636\u6bb5\u3002\u5176\u771f\u6b63\u7684\u8003\u9a8c\u5728\u4e8e\uff0c\u5b83\u5728\u4e0d\u540c\u7684\u7ec3\u4e60\u3001\u8bbe\u5907\u548c\u8bad\u7ec3\u73af\u5883\u4e2d\u80fd\u5426\u4fdd\u6301\u7a33\u5b9a\u7684\u8fd0\u884c\u6548\u679c\u3002\u6211\u5e0c\u671b\u6559\u7ec3\u4eec\u80fd\u591f\u81ea\u884c\u5bf9\u6b64\u8fdb\u884c\u8bc4\u4f30\u3002.<\/p>\n<p>\u6211\u8fd8\u60f3\u660e\u786e\u8bf4\u660e\u8fd9\u4e2a\u6570\u5b57\u80cc\u540e\u7684\u539f\u7406\uff1aSpleeft \u5229\u7528\u68c0\u6d4b\u5230\u7684\u4f11\u606f\u65f6\u6bb5\u6765\u9650\u5236\u901f\u5ea6\u6f02\u79fb\uff0c\u5e76\u501f\u52a9\u72b6\u6001\u673a\u6765\u8bc6\u522b\u91cd\u590d\u52a8\u4f5c\u3002\u6211\u4eec\u5df2\u901a\u8fc7\u8bb0\u5f55\u7684\u8bad\u7ec3\u6570\u636e\u548c\u5916\u90e8\u8bbe\u5907\u5bf9\u8fd9\u4e9b\u51b3\u7b56\u8fdb\u884c\u4e86\u9a8c\u8bc1\u3002\u6211\u5728\u6b64\u5206\u4eab\u8fd9\u4e00\u65b9\u6cd5\uff0c\u4f46\u5177\u4f53\u53c2\u6570\u5c06\u4e0d\u4e88\u516c\u5f00\u3002.<\/p>\n<h2>\u6211\u7684\u6536\u83b7<\/h2>\n<p>\u8fd9\u4e2a\u9879\u76ee\u8ba9\u6211\u660e\u767d\uff0c\u4e00\u4e2a\u6709\u7528\u7684\u901f\u5ea6\u6307\u6807\u4e0d\u4ec5\u4ec5\u53d6\u51b3\u4e8e\u4e00\u4e2a\u5de7\u5999\u7684\u7b97\u6cd5\u3002\u5b83\u8fd8\u53d6\u51b3\u4e8e\u4f20\u611f\u5668\u3001\u8fd0\u52a8\u65b9\u5f0f\u3001\u6570\u636e\u8d28\u91cf\u4ee5\u53ca\u6bcf\u4e2a\u73af\u8282\u505a\u51fa\u7684\u51b3\u7b56\u3002\u4eba\u5de5\u667a\u80fd\u5e2e\u52a9\u6211\u66f4\u5feb\u5730\u8fdb\u884c\u63a2\u7d22\u548c\u5f00\u53d1\uff0c\u4f46\u6559\u7ec3\u7684\u7ecf\u9a8c\u5bf9\u4e8e\u5224\u65ad\u54ea\u4e9b\u95ee\u9898\u771f\u6b63\u91cd\u8981\u81f3\u5173\u91cd\u8981\u3002.<\/p>\n<p>Spleeft \u81f3\u4eca\u4ecd\u662f\u4e00\u4e2a\u7531\u8fd9\u79cd\u597d\u5947\u5fc3\u9a71\u52a8\u7684\u4e2a\u4eba\u9879\u76ee\u3002\u6211\u5c06\u7ee7\u7eed\u5728\u5b9e\u9645\u8bad\u7ec3\u4e2d\u5bf9\u5176\u8fdb\u884c\u6d4b\u8bd5\uff0c\u5e76\u5206\u4eab\u6211\u7684\u5fc3\u5f97\u4f53\u4f1a\u3002.<\/p>\n<p>\u00a0<\/p>","protected":false},"excerpt":{"rendered":"<p>\u6211\u5982\u4f55\u5229\u7528 Apple Watch \u6570\u636e\u3001\u7ebf\u6027\u7f16\u7801\u5668\u4ee5\u53ca\u5728\u5df4\u9ece\u91c7\u96c6\u7684\u5f55\u97f3\uff0c\u6765\u6539\u8fdb Spleeft \u7684\u4f11\u6b62\u7b26\u68c0\u6d4b\u3001\u4e50\u53e5\u5206\u5272\u548c\u5c0f\u8282\u901f\u5ea6\u8ffd\u8e2a\u529f\u80fd\u3002.<\/p>","protected":false},"author":1,"featured_media":11366,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[142],"tags":[67,21],"class_list":["post-11367","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-case-studies","tag-apple-watch","tag-vbt"],"_links":{"self":[{"href":"https:\/\/spleeft.app\/cn\/wp-json\/wp\/v2\/posts\/11367","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/spleeft.app\/cn\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/spleeft.app\/cn\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/spleeft.app\/cn\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/spleeft.app\/cn\/wp-json\/wp\/v2\/comments?post=11367"}],"version-history":[{"count":4,"href":"https:\/\/spleeft.app\/cn\/wp-json\/wp\/v2\/posts\/11367\/revisions"}],"predecessor-version":[{"id":11372,"href":"https:\/\/spleeft.app\/cn\/wp-json\/wp\/v2\/posts\/11367\/revisions\/11372"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/spleeft.app\/cn\/wp-json\/wp\/v2\/media\/11366"}],"wp:attachment":[{"href":"https:\/\/spleeft.app\/cn\/wp-json\/wp\/v2\/media?parent=11367"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/spleeft.app\/cn\/wp-json\/wp\/v2\/categories?post=11367"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/spleeft.app\/cn\/wp-json\/wp\/v2\/tags?post=11367"}],"curies":[{"name":"\u53ef\u6e7f\u6027\u7c89\u5242","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}