{"id":11334,"date":"2026-07-27T02:51:38","date_gmt":"2026-07-26T18:51:38","guid":{"rendered":"https:\/\/gooart.space\/?page_id=11334"},"modified":"2026-08-11T03:10:59","modified_gmt":"2026-08-10T19:10:59","slug":"fcs-whitepaper","status":"publish","type":"page","link":"https:\/\/gooart.space\/en\/fcs-whitepaper\/","title":{"rendered":"FCS Whitepaper"},"content":{"rendered":"\n<div class=\"wp-block-rank-math-toc-block\" id=\"rank-math-toc\"><h2>Table of Contents<\/h2><nav><ul><li><a href=\"#fcs-whitepaper-v-3-10-founding-phase-edition\">FCS Whitepaper v3.10 \u2014 Founding Phase Edition<\/a><ul><li><a href=\"#whats-inside\">What&#8217;s Inside<\/a><\/li><li><a href=\"#why-pure-computer-vision\">Why Pure Computer Vision<\/a><\/li><li><a href=\"#why-founding-members-get-a-different-deal\">Why Founding Members Get a Different Deal<\/a><\/li><li><a href=\"#what-similar-products-cost-elsewhere\">What Similar Products Cost Elsewhere<\/a><\/li><li><a href=\"#global-motion-capture-landscape\">Global Motion-Capture Landscape<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n\n\n\n<h2 id=\"fcs-whitepaper-v-3-10-founding-phase-edition\" class=\"wp-block-heading\">FCS Whitepaper v3.10 \u2014 Founding Phase Edition<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The Gooart Space&nbsp;<strong>200+ FCS Whitepaper<\/strong>&nbsp;documents how a 100% on-device AI Vision engine powers a 200+ movement functional combat training system \u2014 no video recording, no cloud storage, ever. This whitepaper (v3.10, Founding Phase Edition) covers the founding membership model, a review of commercial AI-fitness hardware already sold abroad, and the technical reasoning behind our motion-capture stack.<\/p>\n\n\n\n<h3 id=\"whats-inside\" class=\"wp-block-heading\">What&#8217;s Inside<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Founding Phase &amp; Privacy<\/strong>&nbsp;\u2014 the &#8220;Tensors Only&#8221; data policy behind the 10 founding member spots in Tebong\/Tampin.<\/li>\n\n\n\n<li><strong>Commercial Reality Abroad<\/strong>&nbsp;\u2014 how&nbsp;<a href=\"https:\/\/www.onepeloton.com\/guide\" target=\"_blank\" rel=\"noopener\">Peloton Guide<\/a>, Tempo, Tonal 2, FightCamp, and Kemtai already price AI-assisted coaching hardware overseas, with sourced price anchors as of July 2026.<\/li>\n\n\n\n<li><strong>Global Motion-Capture Landscape<\/strong>&nbsp;\u2014 a side-by-side of optical motion capture (Vicon, OptiTrack), wearable IMU systems (Xsens, Noitom), and pure computer-vision pipelines (<a href=\"https:\/\/github.com\/CMU-Perceptual-Computing-Lab\/openpose\" target=\"_blank\" rel=\"noopener\">OpenPose<\/a>, AlphaPose, HRNet), explaining why we standardized on&nbsp;<a href=\"https:\/\/github.com\/google-ai-edge\/mediapipe\" target=\"_blank\" rel=\"noopener\">MediaPipe<\/a>&nbsp;running fully client-side in the browser.<\/li>\n<\/ul>\n\n\n\n<h3 id=\"why-pure-computer-vision\" class=\"wp-block-heading\">Why Pure Computer Vision<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Optical motion capture and wearable IMU rigs deliver lab-grade accuracy but require dedicated hardware, calibration, and often a technician on-site \u2014 impractical for a home or small-gym setting. A browser-based, MediaPipe-driven pipeline runs entirely on the user&#8217;s own device, so no footage ever leaves the browser. That single constraint \u2014&nbsp;<strong>Tensors Only, never video<\/strong>&nbsp;\u2014 shaped every engineering decision documented in this FCS Whitepaper.<\/p>\n\n\n\n<h3 id=\"why-founding-members-get-a-different-deal\" class=\"wp-block-heading\">Why Founding Members Get a Different Deal<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Every frame from your camera is processed entirely inside the browser \u2014 turned into pose-landmark coordinates (a tensor of joint positions) and immediately discarded. No video frame is ever uploaded, transmitted, or written to disk. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Most fitness apps that use camera-based form-checking take the opposite approach: they record and store workout video for progress review, coaching QA, or model retraining, which quietly turns every session into a growing video archive. That&#8217;s the gap the &#8220;Tensors Only&#8221; architecture is built to close. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Because granting camera access with zero video retention asks for a different kind of trust, the 10 founding member spots in Tebong\/Tampin exist specifically to validate that model in the real world before it&#8217;s opened more broadly \u2014 founding members get lifetime founding pricing and a direct line to shape the next features in exchange for training on an unproven-at-scale, but architecturally more private, system.<\/p>\n\n\n\n<h3 id=\"what-similar-products-cost-elsewhere\" class=\"wp-block-heading\">What Similar Products Cost Elsewhere<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">This FCS Whitepaper compares what similar AI-coached training systems already cost abroad, because context matters when judging a fair price point. Peloton Guide launched at $295 in hardware plus a $24\/month Guide Membership \u2014 and was discounted down to $95 before being pulled from sale in 2026, a sign that hardware-plus-camera AI coaching struggled to sustain itself even at Peloton&#8217;s scale.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Tempo&#8217;s AI-guided strength training starts at $39\/month (dropping to $35 or $30\/month on 12- or 24-month terms). Tonal 2 sits at the premium end: $4,295 MSRP plus a mandatory $59.95\/month membership for the first year. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">FightCamp, the closest combat-sport comparison, spans $299\u2013$899 in hardware packages plus $39\/month (or $14.99\/month for tracking-only). Kemtai \u2014 a browser-based computer-vision platform with no wearables or sensors, architecturally the closest peer to 200+ FCS \u2014 sells almost entirely through enterprise and clinical contracts rather than public consumer pricing. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Across this landscape, the products still standing lean on browser-based computer vision instead of dedicated cameras or wearables \u2014 the same direction 200+ FCS takes.<\/p>\n\n\n\n<h3 id=\"global-motion-capture-landscape\" class=\"wp-block-heading\">Global Motion-Capture Landscape<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Optical marker-based systems like Vicon and OptiTrack deliver sub-millimeter accuracy but require multi-camera studio rigs, careful calibration, and five- to six-figure setup costs \u2014 built for film and sports-science labs, not a home or small studio. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Wearable IMU suits like Xsens and Noitom skip the cameras entirely, but drift accumulates over long sessions, and fitting, charging, and laundering a suit for every member doesn&#8217;t scale. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Pure computer-vision pipelines took a different path: the OpenPose, AlphaPose, and HRNet research lineage matured into production-grade, on-device runtimes like MediaPipe, capable of full-body pose estimation inside a standard mobile browser at real-time frame rates with no extra hardware. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">That maturity curve \u2014 accuracy finally catching up to convenience \u2014 is what makes a 100% on-device, browser-only motion-capture stack commercially viable in 2026 in a way it wasn&#8217;t five years ago.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">No stored video. No dedicated hardware. Browser-native computer vision. Those three constraints are what separate 200+ FCS from every commercial alternative reviewed in this FCS Whitepaper \u2014 and the 10 founding member spots in Tebong\/Tampin are the first real-world test of whether that model holds up outside a lab.<\/p>\n\n\n\n<!-- \u590d\u5236\u4ee5\u4e0b\u5185\u5bb9\u5230 WordPress Custom HTML Block -->\n<iframe src=\"https:\/\/gooart.space\/wp-content\/uploads\/2026\/07\/whitepaper.html\" title=\"Gooart Space 200+ FCS Whitepaper\" loading=\"lazy\" style=\"display:block;width:100%;min-height:100vh;border:0;background:#f7f4ef;\"><\/iframe>\n<noscript><a href=\"https:\/\/gooart.space\/wp-content\/uploads\/2026\/07\/whitepaper.html\">\u6253\u5f00\u767d\u76ae\u4e66 Open the Whitepaper<\/a><\/noscript>\n\u200b\n","protected":false},"excerpt":{"rendered":"<p>FCS Whitepaper v3.10 \u2014 Founding Phase Edition The Gooart Space&nbsp;200+ FCS Whitepaper&nbsp;documents how a 100% on-device AI Vision engine powers a 200+ movement functional combat training system \u2014 no video recording, no cloud storage, ever. This whitepaper (v3.10, Founding Phase Edition) covers the founding membership model, a review of commercial AI-fitness hardware already sold abroad, &#8230; <a title=\"FCS Whitepaper\" class=\"read-more\" href=\"https:\/\/gooart.space\/en\/fcs-whitepaper\/\" aria-label=\"Read more about FCS Whitepaper\">Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":11338,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-11334","page","type-page","status-publish","has-post-thumbnail"],"acf":[],"_links":{"self":[{"href":"https:\/\/gooart.space\/en\/wp-json\/wp\/v2\/pages\/11334","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/gooart.space\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/gooart.space\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/gooart.space\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/gooart.space\/en\/wp-json\/wp\/v2\/comments?post=11334"}],"version-history":[{"count":16,"href":"https:\/\/gooart.space\/en\/wp-json\/wp\/v2\/pages\/11334\/revisions"}],"predecessor-version":[{"id":11476,"href":"https:\/\/gooart.space\/en\/wp-json\/wp\/v2\/pages\/11334\/revisions\/11476"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/gooart.space\/en\/wp-json\/wp\/v2\/media\/11338"}],"wp:attachment":[{"href":"https:\/\/gooart.space\/en\/wp-json\/wp\/v2\/media?parent=11334"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}