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Tiny Motion Trainer by Google Creative Lab - Experiments with Google

<!DOCTYPE html><html><head><title>Tiny Motion Trainer by Google Creative Lab - Experiments with Google</title><meta name="description" content="Since 2009, coders have created thousands of amazing experiments using Chrome, Android, AI, WebVR, AR and more. 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style="margin-top:10px;width:90%">A code-free tool that lets you create custom, microcontroller-ready models based on IMU data.</p> <div class="action-button-holder" style="margin-top:25px"> <a class="button hollow caps" href="https://experiments.withgoogle.com/tiny-motion-trainer/view" target="_blank" onclick="ga(&quot;send&quot;,&quot;event&quot;,&quot;Experiment Launch Button&quot;,&quot;Click&quot;,&quot;Tiny Motion Trainer&quot;)" aria-label="Launch Tiny Motion Trainer Experiment" nonce="w7ztyMW6bV4qGXKQ95LmXrNOFJdpwyJQ"> Launch experiment </a> <a class="button hollow caps" href="https://github.com/googlecreativelab/tiny-motion-trainer" target="_blank" onclick="ga('send', 'event', 'Experiment Get Code Button', 'Click', 'Tiny Motion Trainer)" aria-label="View Tiny Motion Trainer Experiment Source Code" nonce="w7ztyMW6bV4qGXKQ95LmXrNOFJdpwyJQ"> Get the code </a> </div></div><div class="cont-right"><h3 class="caps small">Collection:</h3><div id="collections-holder" style="display:block"> <a class="collection" href="/collection/tfliteformicrocontrollers">TensorFlow Lite for Microcontrollers</a> </div></div></div> <video preload loop muted playsinline poster="https://storage.googleapis.com/gweb-experiments.appspot.com/8186-TMT_16x9.gif" id="aboutloopvideo" nonce="w7ztyMW6bV4qGXKQ95LmXrNOFJdpwyJQ"><source src="https://storage.googleapis.com/gweb-experiments.appspot.com/7414-TMT_16x9_POV_2021_0513_v_002.mp4" type="video/mp4"></source></video> <div id="featured-holder"><div class="featured-img-holder"><img class="featured-img gif-image" src="https://storage.googleapis.com/gweb-experiments.appspot.com/7278-02_TMT.gif" alt="" data-img-alt="data:image/png;base64,"></div> <div class="featured-img-holder"><img class="featured-img gif-image" src="https://storage.googleapis.com/gweb-experiments.appspot.com/7246-03_TMT_UI.gif" alt="" data-img-alt="data:image/png;base64,"></div> </div><div class="content-wrap single"><div class="content-twothird"><div class="content-block displaytext"><p>Inspired by <a href="https://teachablemachine.withgoogle.com/" target="_blank"><u>Teachable Machine</u></a>, this tool allows you to capture IMU data, label it, train a model and upload it to your Arduino board.</p><p></p><div><br></div><div>This project is a part of a collection of experiments that shows the possibilities of building with TensorFlow Lite for Microcontrollers.</div><p></p></div> </div><div class="content-onethird"><h4 class="caps small">Built with: </h4><div id="tags-holder" style="display:block"> <a class="tag" href="/experiments?tag=TensorFlow+Lite+for+Microcontrollers">TensorFlow Lite for Microcontrollers</a> </div></div></div></div></div><footer><div class="wrapper"><div class="google-logo"></div><div id="social-holder"><a href="https://www.google.com/policies/" target="_blank" class="social-icon">Privacy & Terms</a><div id="social-icons"><a class="social-icon" href="https://www.facebook.com/ExpWithGoogle/" target="_blank" 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