{"id":105801,"date":"2025-07-04T12:46:25","date_gmt":"2025-07-04T10:46:25","guid":{"rendered":"https:\/\/sports.saypro.online\/index.php\/2025\/07\/04\/saypro-ai-powered-biomechanical-feedback\/"},"modified":"2025-07-24T09:59:56","modified_gmt":"2025-07-24T07:59:56","slug":"saypro-ai-powered-biomechanical-feedback","status":"publish","type":"post","link":"https:\/\/sports.neftaly.net\/index.php\/2025\/07\/04\/saypro-ai-powered-biomechanical-feedback\/","title":{"rendered":"Neftaly AI-powered biomechanical feedback"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">\u274c Neftaly\u2019s Involvement in AI Biomechanical Feedback<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>There is <strong>no publicly available evidence<\/strong> that Neftaly provides smart equipment or AI-enabled wearable technology that delivers biomechanical feedback to users.<\/li>\n\n\n\n<li>Their known activities involve digital consulting, community programs, and interactive art, but none appear related to athlete biomechanics or AI-feedback hardware ([turn0search2]\ue201).<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">???? How AI-Powered Biomechanical Feedback Works: Field Examples<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Though Neftaly isn\u2019t active in this field, both research and practical wearables demonstrate how AI-driven biomechanical feedback is delivered in real time:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">1. <strong>Wearable Hammer-Throw Feedback System<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>A wearable system integrating IMUs, load cells, and an Arduino microcontroller used in hammer-throw training.<\/li>\n\n\n\n<li>It leveraged deep neural networks to estimate joint angles in real time with mean errors of \u00b14\u00b0\u2014enabling feedback without limiting athlete movement and with accuracy comparable to lab systems.<\/li>\n\n\n\n<li>This marks one of the first real-world examples of <strong>AI\u2011powered biomechanical feedback via wearables<\/strong>.<br><a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/36617025\/?utm_source=chatgpt.com\" target=\"_blank\" rel=\"noreferrer noopener\">SAGE Journals+8PubMed+8PMC+8<\/a><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">2. <strong>Smart Sportswear with Strain Sensors &amp; Dl Models<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>A prototype sportswear system embedded with screen\u2011printed graphene strain sensors.<\/li>\n\n\n\n<li>A ResNet\u201118 deep learning model classified exercise form in real time, detecting issues such as breathing inconsistencies or asymmetrical muscle activation, achieving ~92% classification accuracy.<br><a href=\"https:\/\/arxiv.org\/abs\/2504.08500?utm_source=chatgpt.com\" target=\"_blank\" rel=\"noreferrer noopener\">arXiv<\/a><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">3. <strong>Biomechanical Analytics in Sports Physiotherapy<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Research using IMUs, pressure sensors, EMG, and haptic feedback tools combined with machine learning enables personalized tracking of joint motion, muscle activation, and strain.<\/li>\n\n\n\n<li>These systems help adapt physical training or rehabilitation plans in real time for improved outcomes.<br><a href=\"https:\/\/journals.sagepub.com\/doi\/10.1177\/20552076241256745?icid=int.sj-abstract.similar-articles.9&amp;utm_source=chatgpt.com\" target=\"_blank\" rel=\"noreferrer noopener\">SAGE Journals<\/a><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">4. <strong>AI for Motor-Skill Learning &amp; Feedback Support<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Studies emphasize that deep learning applied to wearable-collected data can support high-fidelity motor-skill assessment, superior to markerless video capture in flexibility and real-time use.<br><a href=\"https:\/\/www.mdpi.com\/2076-3417\/9\/2\/226?utm_source=chatgpt.com\" target=\"_blank\" rel=\"noreferrer noopener\">MDPI+1ProQuest+1<\/a><\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">???? Technology Comparison<\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Feature<\/th><th><strong>Neftaly<\/strong><\/th><th><strong>AI Biomechanical Feedback Systems<\/strong><\/th><\/tr><\/thead><tbody><tr><td>Real-time biomechanical feedback<\/td><td>\u274c No<\/td><td>\u2705 Yes \u2014 via wearable AI+sensor systems<\/td><\/tr><tr><td>Wearable sensor data collection<\/td><td>\u2014<\/td><td>\u2705 IMUs, load cells, pressure sensors, EMG<\/td><\/tr><tr><td>AI models for form\/movement detection<\/td><td>\u2014<\/td><td>\u2705 Deep neural networks, ResNet, analytics frameworks<\/td><\/tr><tr><td>Real-time coaching or corrective cues<\/td><td>\u2014<\/td><td>\u2705 Visual or haptic feedback guided by motion analysis<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">\u2705 Summary<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Neftaly is not known to develop AI-enabled biomechanical feedback equipment.<\/strong><\/li>\n\n\n\n<li>Extensive research and prototype systems show strong proof-of-concept for <strong>wearables using AI to monitor and correct human movement in real time<\/strong>.<\/li>\n\n\n\n<li>These systems often use IMUs, strain sensors, and data fusion with neural networks to detect form issues, joint angles, and movement asymmetries and deliver feedback\u2014supporting training, rehabilitation, and motor skill development.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>\u274c Neftaly\u2019s Involvement in AI Biomechanical Feedback ???? How AI-Powered Biomechanical Feedback Works: Field Examples Though Neftaly isn\u2019t active in this field, both research and practical wearables demonstrate how AI-driven biomechanical feedback is delivered in real time: 1. Wearable Hammer-Throw Feedback System 2. Smart Sportswear with Strain Sensors &amp; Dl Models 3. Biomechanical Analytics in [&hellip;]<\/p>\n","protected":false},"author":30,"featured_media":1302916,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[2348,2101,1615,29],"class_list":["post-105801","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-saypro-sports-insights","tag-ai-powered","tag-biomechanical","tag-feedback","tag-saypro"],"_links":{"self":[{"href":"https:\/\/sports.neftaly.net\/index.php\/wp-json\/wp\/v2\/posts\/105801","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sports.neftaly.net\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sports.neftaly.net\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sports.neftaly.net\/index.php\/wp-json\/wp\/v2\/users\/30"}],"replies":[{"embeddable":true,"href":"https:\/\/sports.neftaly.net\/index.php\/wp-json\/wp\/v2\/comments?post=105801"}],"version-history":[{"count":1,"href":"https:\/\/sports.neftaly.net\/index.php\/wp-json\/wp\/v2\/posts\/105801\/revisions"}],"predecessor-version":[{"id":107171,"href":"https:\/\/sports.neftaly.net\/index.php\/wp-json\/wp\/v2\/posts\/105801\/revisions\/107171"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sports.neftaly.net\/index.php\/wp-json\/wp\/v2\/media\/1302916"}],"wp:attachment":[{"href":"https:\/\/sports.neftaly.net\/index.php\/wp-json\/wp\/v2\/media?parent=105801"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sports.neftaly.net\/index.php\/wp-json\/wp\/v2\/categories?post=105801"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sports.neftaly.net\/index.php\/wp-json\/wp\/v2\/tags?post=105801"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}