¾«Æ·SMÔÚÏßӰƬ

<h2>Problem</h2>
<p>Wearables these days can track everything, including sleep. However, most of these sleep tracking devices can give inaccurate data and participating in actual sleep studies can be expensive and time consuming.</p>
<h2>Solution</h2>
<p>From the lab of ¾«Æ·SMÔÚÏßӰƬ professor <strong><a href=". Tam Vu</a></strong> comes Earable™—a small, in-ear worn device to help quantify and improve a user’s sleep. The earbuds are packed with biosensors to detect brain activity (EEG), eye movements (EOG), and facial movements (EMG). It is at or near the gold standard for sleep study technology all within one convenient and comfortable in-ear device. Unlike other wearables, Earableâ„¢ has more sensors, is located on the head, and uses proprietary machine learning algorithms for higher accuracy of bioelectric analysis.</p>
<h2>Market Application</h2>
<p>Due to the number of biosensors in the device, applications can be expanded far past sleep study and improvement to include:  Autism Onset Detection, Meditation Enhancement, Epilepsy Suppression, ADHD Measurement, Driver’s Distraction and Drowsiness Prevention, and Child’s Interest Assessment.</p>
<h2>What's Next?</h2>
<p>Earable is currently looking for additional funding and three full-time engineers in the hardware, software, and material science spaces.</p>
<div class="ucb-box ucb-box-title-left ucb-box-alignment-left ucb-box-style-fill ucb-box-theme-lightgray">
<div class="ucb-box-inner">
<div class="ucb-box-title">Contact</div>
<div class="ucb-box-content">
<p><strong>Josh Bennett</strong>: <i class="fa-solid fa-envelope ucb-icon-color-gold">&nbsp;</i>
joshua.bennett@colorado.edu</p>
</div>
</div>
</div>
<div class="clear"></div>