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<!doctype html>
<html lang="en">
<head>
<!-- <title>Neurotech@Berkeley</title> -->
<title>NT@B | Devices</title>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
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<a class="nav-link dropdown-toggle" href="#" id="projectsDropdown" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false">
Projects
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<div class="dropdown-menu" aria-labelledby="projectsDropdown">
<a class="dropdown-item" href="divisions_devices.html">Software & Devices</a>
<a class="dropdown-item" href="divisions_consulting.html">Industry</a>
<a class="dropdown-item" href="divisions_education.html">Education</a>
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<!-- <a class="btn nav-btn-highlight app-btn-bg" href="join.html" style="color: rgb(255, 255, 255); font-weight: 900; text-transform: none; margin-top: 24px; vertical-align: middle;">Apply</a> -->
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<div class="rounded-box">
<h1 class="mb-3 bread" style="color: #ffffff;">Software & Devices</h1>
<p class="custom-breadcrumbs">
Products for the mind, by the mind. Our devices and software
divisions aim to help members develop the skills to design products for the future.
</p>
</div>
</div>
</div>
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<div id="project-mission">
<div class="row ftco-animate justify-content-center mb-4 pb-4 fadeInUp ftco-animated">
<div class="col-md-6 my-auto ftco-animate mb-2 pb-2 fadeInUp ftco-animated">
<h3 style="text-align: center; font-weight: bolder">Purpose</h3>
<br>
<p style="text-align: left; overflow-wrap: break-word; line-height: 1.5;">
Neurotechnology’s potential to improve lives is unmatched. Neurotech@Berkeley is committed to building innovative, impactful software and hardware solutions to big problems.
</p>
<p style="text-align: left; overflow-wrap: break-word; line-height: 1.5;">
Our Devices Division is developing custom, non-invasive neural interfaces to experiment with new ways of interfacing with computers, augment human capabilities, and innovate new forms of prosthetics. Some of our devices, such as our EMG-based wristband (NeuroWrist) and our fully-customizable EEG headset (NeuroMorph), are used by the software division to collect data!
<br>
Our Software Division uses different forms of neural data, such as those from EEG, MRI, and fNIRS, to build software-based solutions to a neuroscience problems. We currently have a wide variety of projects, ranging from eye-tracking typing methods to brain-state-controlled music selection algorithms.
</p>
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<br>
<br>
<br>
<h2 style="font-weight: 900;">Current Projects</h2>
</div>
</div>
<div class="row center-cards">
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<img src="images/devices-robles-reuben.png" class="img-project" style="max-width: 100%; height: 150px;">
</div>
<div class="text project-card-blurb">
<p style = "font-weight: 900; color: black; font-size: 1.1em;">
RobLES
</p>
<p>
Build and control an external limb using EMG (building off of Neurowrist work)
</p>
</div>
<div class="text project-card-links">
<div class="meta mb-3">
<!-- <div style="color: palevioletred;">[Coming soon]</div> -->
</div>
</div>
</div>
</div>
<div class="col-md-4 block-with-flex ftco-animate fadeInUp ftco-animated">
<div class="project-card w-100" data-aos-delay="100">
<div class="text project-card-title justify-content-center">
<img src="images/devices-pong.png" class="img-project" style="max-width: 100%; height: 150px;">
</div>
<div class="text project-card-blurb">
<p style = "font-weight: 900; color: black; font-size: 1.1em;">
Wetware Computing
</p>
<p>
Bridging the gap between silicon and biology - the first collegiate initiative to compute and understand live neural circuits!
</p>
</div>
<div class="text project-card-links">
<div class="meta mb-3">
<!-- <div style="color: palevioletred;">[Coming soon]</div> -->
</div>
</div>
</div>
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<div class="project-card w-100" data-aos-delay="100">
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<img src="images/devices-neuromorph.png" class="img-project" style="max-width: 100%; height: 150px;">
</div>
<div class="text project-card-blurb">
<p style = "font-weight: 900; color: black; font-size: 1.1em;">
Neuromorph
</p>
<p>
Design and build a flexible EEG that is affordable and enables user-defined electrode position and count
</p>
</div>
<div class="text project-card-links">
<div class="meta mb-3">
<!-- <div style="color: palevioletred;">[Coming soon]</div> -->
</div>
</div>
</div>
</div>
<div class="col-md-4 block-with-flex ftco-animate fadeInUp ftco-animated">
<div class="project-card w-100" data-aos-delay="100">
<div class="text project-card-title justify-content-center">
<img src="images/fMRI_Rec.png" class="img-project" style="max-width: 100%; height: 150px;">
</div>
<div class="text project-card-blurb">
<p style = "font-weight: 900; color: black; font-size: 1.1em;">
fMRI Image Reconstruction Model
</p>
<p>
Reconstructing images that people see from fMRI data, i.e. “imagination reading” with a stable diffusion based machine learning architecture
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<p style = "font-weight: 900; color: black; font-size: 1.1em;">
MRI Cancer Detection Model
</p>
<p>
A computer vision project utilizing the U Net architecture to identify tumor cells in an MRI scan of a person’s brain.
</p>
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EMG Gesture Prediction
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A novel CNN and LSTM based machine learning project predicting hand gestures from EMG muscle movements
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Neurowrist
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Utilize real-time processing EMG signals from the wrist and translate captured features into controls
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Gazeware
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Answering visual questions using image and word embeddings and recurrent attention algorithms
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<div><a href="https://showspace.so/p/6223?refPageType=company&refPageLabel=Neurotech@Berkeley&refPageSlug=neurotech-berkeley" target="_blank">Showspace</a></div>
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EMG Roboarm
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Built machine learning classifier for EMG signals for operating a 3D printed prosthetic arm
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EEG Mind-Control Car
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Used EEG tracking with a Muse headset for hands-free vehicle control through blinks and winks
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EEG Art
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Used EEG signals collected through a Muse headset to generate real-time visual art based on the user's brainstate
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Canine fNIRS BCI
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Built an fNIRS headset for dogs for tracking oxygenation of their olfactory bulb to detect disease states of their owners
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Tunable PCB for EMG/EEG
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An EOG headset and application for monitoring productivity during work sessions. Analyzes EOG signals to measure focus, fatigue, and alertness and displays metrics in a dashboard.
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Designed and trained CNN for classifying P300 event-related potentials to create a BCI for hands-free typing
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EEG Music
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EEG Music project on mood classification and playback control
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