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	<title>Noah Pacik-Nelson</title>
	<link>https://noahpaciknelson.com</link>
	<description>Noah Pacik-Nelson</description>
	<pubDate>Mon, 01 Jan 2024 00:24:43 +0000</pubDate>
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		<title>Home Image Scroll</title>
				
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		<pubDate>Sun, 01 Nov 2020 20:20:59 +0000</pubDate>

		<dc:creator>Noah Pacik-Nelson</dc:creator>

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		<title>Info</title>
				
		<link>https://noahpaciknelson.com/Info</link>

		<pubDate>Sun, 01 Nov 2020 20:21:00 +0000</pubDate>

		<dc:creator>Noah Pacik-Nelson</dc:creator>

		<guid isPermaLink="true">https://noahpaciknelson.com/Info</guid>

		<description>
Hi — I’m Noah&#60;img width="690" height="690" width_o="690" height_o="690" data-src="https://freight.cargo.site/t/original/i/bdbcfa9fa50de724c371fa6fa9998ce9202afa2f0ff610ade85670baefe706fe/headshot_weirdcrop.png" data-mid="90551173" border="0" data-scale="64" src="https://freight.cargo.site/w/690/i/bdbcfa9fa50de724c371fa6fa9998ce9202afa2f0ff610ade85670baefe706fe/headshot_weirdcrop.png" /&#62;

“What we can do depends on what we can build.”
(Marvin Minsky from the foreward of Engines of Creation)
I focus on the intersection of digital &#38;amp; physical, building sensors for new modalities of data and deep learning models to process it.I’m currently a researcher in the Future Technologies Group at Accenture Labs where I develop ultra low-power neuromorphic algorithms, IoT probes for wildfire detection, and multi-material 3D printed sensors.
Previously, I was a visiting researcher at the MIT Media Lab in the Fluid Interfaces Group where I worked on AttentivU and Brain Switch. Before that I built ventilators.

I get inspiration from algorithms, motion, nature, compliant mechanisms, robotics, 3D printing, and scrolling for hours on DigiKey.
I like to learn and teach.

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	<item>
		<title>MOBIL</title>
				
		<link>https://noahpaciknelson.com/MOBIL</link>

		<pubDate>Mon, 01 Jan 2024 00:24:43 +0000</pubDate>

		<dc:creator>Noah Pacik-Nelson</dc:creator>

		<guid isPermaLink="true">https://noahpaciknelson.com/MOBIL</guid>

		<description>[ MOBIL ]

&#60;img width="998" height="1331" width_o="998" height_o="1331" data-src="https://freight.cargo.site/t/original/i/6827c8fedfb43ad81681181f103c7c5a20bbc21426e5db4821f8d84d82ac4f40/v1-side.jpg" data-mid="200487571" border="0"  src="https://freight.cargo.site/w/998/i/6827c8fedfb43ad81681181f103c7c5a20bbc21426e5db4821f8d84d82ac4f40/v1-side.jpg" /&#62;
&#60;img width="998" height="1331" width_o="998" height_o="1331" data-src="https://freight.cargo.site/t/original/i/97a3ae3a786262d8fafe2eed4efe3bb171283e2bb252cbaa0ea5621fff50dc08/v2-side.jpg" data-mid="200487594" border="0"  src="https://freight.cargo.site/w/998/i/97a3ae3a786262d8fafe2eed4efe3bb171283e2bb252cbaa0ea5621fff50dc08/v2-side.jpg" /&#62;


MBL / 4001Versions 1 (left) and 2 (right) of the knee sensor. The second version is completely wireless and able to track the pose of the knee at 100Hz.

MOBIL (Monitoring Of Biomechanics In Locomotion) started as an weekend project to build a system capable of measuring joint pose for in-the-wild monitoring of joint health and performance in athletes. Using a pair of IMUs, the sensor is able to calculate the true orientation of the knee a hundred times a second, streaming this information wirelessly over MQTT for more advanced processing in the cloud.&#38;nbsp;
While I am currently focusing on metrics like explosiveness in sports, I would like to extend the work to help those with chronic pain identify their triggers and improve their condition.

&#60;img width="1920" height="1080" width_o="1920" height_o="1080" data-src="https://freight.cargo.site/t/original/i/59c1b6b9a6ed5b01edf23341f6ec1e62c7f24c01f409c97e9d4e2b1cc0e595db/ArmatureMoveGIF.gif" data-mid="200487709" border="0"  src="https://freight.cargo.site/w/1000/i/59c1b6b9a6ed5b01edf23341f6ec1e62c7f24c01f409c97e9d4e2b1cc0e595db/ArmatureMoveGIF.gif" /&#62;

MBL / 4002The knee sensor controlling a three.js armature in real-time over serial</description>
		
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	<item>
		<title>Speech2Spikes</title>
				
		<link>https://noahpaciknelson.com/Speech2Spikes</link>

		<pubDate>Fri, 08 Dec 2023 18:48:06 +0000</pubDate>

		<dc:creator>Noah Pacik-Nelson</dc:creator>

		<guid isPermaLink="true">https://noahpaciknelson.com/Speech2Spikes</guid>

		<description>[ Speech2Spikes ]
&#60;img width="4800" height="2400" width_o="4800" height_o="2400" data-src="https://freight.cargo.site/t/original/i/54a95d91d76edbfa3fc1d86cab2681091ea15b6f8a3e9614b25d0e4d6a268405/spectro.png" data-mid="198925590" border="0"  src="https://freight.cargo.site/w/1000/i/54a95d91d76edbfa3fc1d86cab2681091ea15b6f8a3e9614b25d0e4d6a268405/spectro.png" /&#62;
S2S / 1001Sequential stages of data processing (16 KHz 16-bit raw audio, Sliding Discrete Fourier Transform (SDFT), Log-Mel features, Step-Forward spike encoding)

Neuromorphic processors mimic the neural structure and parallel processing capabilities of the human brain, enabling more efficient computing for pattern recognition, computer vision, and other AI applications. Despite the maturity and availability of speech recognition systems, speech recognition has yet to be widely deployed onto neuromorphic systems. This is due to the sparse, spiking nature of these chips being fundamentally different from the continuous, high-resolution form of raw audio. 



To translate between the two, we developed Speech2Spikes, an efficient audio processing pipeline that encodes recorded audio into spikes and is suitable for real-time operation with low-power neuromorphic processors. Speech2Spikes is made up of several sequential transformations, each extracting specific pieces of information from the underlying signal. These transformations are not only quite simple, but are readily accelerated by hardware and are capable of being set up as a filter for sample by sample processing. 



Published in NICE ’23 (https://doi.org/10.1145/3584954.3584995)
</description>
		
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		<title>MechSense</title>
				
		<link>https://noahpaciknelson.com/MechSense</link>

		<pubDate>Fri, 08 Dec 2023 17:28:07 +0000</pubDate>

		<dc:creator>Noah Pacik-Nelson</dc:creator>

		<guid isPermaLink="true">https://noahpaciknelson.com/MechSense</guid>

		<description>[ MechSense ]
&#60;img width="2352" height="916" width_o="2352" height_o="916" data-src="https://freight.cargo.site/t/original/i/581be7f075776e1bdded8b3007fc518252bb170161de1a71e1bd2d43202b56eb/fig2-MechSensestructure.png" data-mid="198920846" border="0"  src="https://freight.cargo.site/w/1000/i/581be7f075776e1bdded8b3007fc518252bb170161de1a71e1bd2d43202b56eb/fig2-MechSensestructure.png" /&#62;MS / 2001Architecture of the MechSense rotary encoder

MechSense is a 3D printed multi-material rotary encoder
designed in collaboration with the Human-Computer Interaction Lab in MIT CSAIL.
The design of the encoder allows it to be fabricated in a single step, both removing
the need for complex assembly and enabling the sensor to be fabricated in volume
constrained systems where an off-the-shelf encoder would not fit. 



The floating design of MechSense removes all parts of that
would readily wear out and greatly simplifies the process of embedding rotary
sensing in 3D printed designs. MechSense is a stepping stone towards a toolbox
of 3D printable sensors, working towards a future where entire systems with structural,
sensing, and computational elements can be taken directly off the print bed.
Published in CHI ‘23 (https://dl.acm.org/doi/10.1145/3544548.3581361)







&#60;img width="1249" height="700" width_o="1249" height_o="700" data-src="https://freight.cargo.site/t/original/i/4bc5efa8bd2baeab3e0173021f0cd826a170351695dcb7f63f14d251bd4e63d4/rotational-measurements.jpeg" data-mid="198920880" border="0"  src="https://freight.cargo.site/w/1000/i/4bc5efa8bd2baeab3e0173021f0cd826a170351695dcb7f63f14d251bd4e63d4/rotational-measurements.jpeg" /&#62;MS / 2002The raw capacitance waveform from the sensor by angular position
</description>
		
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		<title>Fire Probe</title>
				
		<link>https://noahpaciknelson.com/Fire-Probe</link>

		<pubDate>Mon, 04 Dec 2023 01:59:43 +0000</pubDate>

		<dc:creator>Noah Pacik-Nelson</dc:creator>

		<guid isPermaLink="true">https://noahpaciknelson.com/Fire-Probe</guid>

		<description>[ Fire Probe ]

&#60;img width="1258" height="1572" width_o="1258" height_o="1572" data-src="https://freight.cargo.site/t/original/i/d2fe5a298223517d06cd8241b3ee14df5ca490314e4f945dc735c655f250cb9b/Sensor_Insert_2021-Aug-16_08-58-36PM-000_CustomizedView12490799864.jpeg" data-mid="198500510" border="0"  src="https://freight.cargo.site/w/1000/i/d2fe5a298223517d06cd8241b3ee14df5ca490314e4f945dc735c655f250cb9b/Sensor_Insert_2021-Aug-16_08-58-36PM-000_CustomizedView12490799864.jpeg" /&#62;
&#60;img width="885" height="1106" width_o="885" height_o="1106" data-src="https://freight.cargo.site/t/original/i/139bc42bc89a202dca51e8c7b7dc5a2a98de72ebff13e7df4b59ab0f83a6531a/Sensor_Insert_2021-Aug-16_09-17-32PM-000_CustomizedView9114250164.jpeg" data-mid="198500509" border="0"  src="https://freight.cargo.site/w/885/i/139bc42bc89a202dca51e8c7b7dc5a2a98de72ebff13e7df4b59ab0f83a6531a/Sensor_Insert_2021-Aug-16_09-17-32PM-000_CustomizedView9114250164.jpeg" /&#62;
&#60;img width="968" height="1210" width_o="968" height_o="1210" data-src="https://freight.cargo.site/t/original/i/49e3bd03e674ff952b8d71df3bdd9074c5fb26a5c1edbd86a53321737a5f3b93/bd412f1f-274b-4357-a3d8-35df3a028dcf.jpeg" data-mid="198500508" border="0"  src="https://freight.cargo.site/w/968/i/49e3bd03e674ff952b8d71df3bdd9074c5fb26a5c1edbd86a53321737a5f3b93/bd412f1f-274b-4357-a3d8-35df3a028dcf.jpeg" /&#62;
FP / 3001Early renderings of the Fire Probe
Wildfires around the world are becoming more intense, less
predictable, and more frequent. As part of the Future Technologies Group at
Accenture labs, I helped to develop the IoT Fire Probe, a wirelessly connected
device with a suite of sensors designed to detect the risk, ignition, and spread
of fire. 



In collaboration with CSAA, the joint research project
worked to empower homeowners, emergency responders, and industrial partners by
providing them with the tooling needed to monitor their property in real-time. The
probe is capable of wirelessly measuring environmental metrics such as soil
moisture, volatile organic compounds, and CO2 and can sustain itself
indefinitely on solar power using energy harvesting.
















This information is streamed to the cloud for
use in early warning systems, firefighting deployment and strategy, and forestry
initiatives at a massive scale.



 






&#60;img width="3462" height="1380" width_o="3462" height_o="1380" data-src="https://freight.cargo.site/t/original/i/603884902c2d903b8f341bfffd5b0e50f12147861c4f8957a1cb6ebbe2795400/Screenshot-2023-12-08-at-11.40.07AM.png" data-mid="198915728" border="0"  src="https://freight.cargo.site/w/1000/i/603884902c2d903b8f341bfffd5b0e50f12147861c4f8957a1cb6ebbe2795400/Screenshot-2023-12-08-at-11.40.07AM.png" /&#62;
FP / 3002Data metrics from the final sensor suite


&#60;img width="3024" height="4032" width_o="3024" height_o="4032" data-src="https://freight.cargo.site/t/original/i/bde1dec1f9b1d6773c07b2f4f8de6600100d39f4555f57a0f96df527594c6584/PXL_20210827_190525706.jpeg" data-mid="198500512" border="0"  src="https://freight.cargo.site/w/1000/i/bde1dec1f9b1d6773c07b2f4f8de6600100d39f4555f57a0f96df527594c6584/PXL_20210827_190525706.jpeg" /&#62;
&#60;img width="3024" height="4032" width_o="3024" height_o="4032" data-src="https://freight.cargo.site/t/original/i/259d9aed3c7c976e4a93c546c0c3f453cf42e9c23c2c0f436e68767a7ae562b9/PXL_20210827_190510764.jpeg" data-mid="198500513" border="0"  src="https://freight.cargo.site/w/1000/i/259d9aed3c7c976e4a93c546c0c3f453cf42e9c23c2c0f436e68767a7ae562b9/PXL_20210827_190510764.jpeg" /&#62;
&#60;img width="2085" height="2780" width_o="2085" height_o="2780" data-src="https://freight.cargo.site/t/original/i/aaedec7aa47d709b157b99013003b20b51ed3a2a4960565661b5f625fbbd7f31/PXL_20210827_190551100.jpeg" data-mid="198500511" border="0"  src="https://freight.cargo.site/w/1000/i/aaedec7aa47d709b157b99013003b20b51ed3a2a4960565661b5f625fbbd7f31/PXL_20210827_190551100.jpeg" /&#62;
FP / 3003Final printed prototype</description>
		
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		<title>The Ventilator Project</title>
				
		<link>https://noahpaciknelson.com/The-Ventilator-Project</link>

		<pubDate>Sun, 01 Nov 2020 20:21:00 +0000</pubDate>

		<dc:creator>Noah Pacik-Nelson</dc:creator>

		<guid isPermaLink="true">https://noahpaciknelson.com/The-Ventilator-Project</guid>

		<description>[ The Ventilator Project ]

&#60;img width="2568" height="1250" width_o="2568" height_o="1250" data-src="https://freight.cargo.site/t/original/i/dfaf5d581242146348e9c88388c1ccba35bdfda012bc3bc05620822547dfa820/20200429_095847.png" data-mid="90668836" border="0"  src="https://freight.cargo.site/w/1000/i/dfaf5d581242146348e9c88388c1ccba35bdfda012bc3bc05620822547dfa820/20200429_095847.png" /&#62;
TVP / 1001
Final Assembly of Prototype 8

The Ventilator Project is a non-profit in Boston building low-cost ventilators capable of supporting patients for extended periods of time. Able to handle all but the most complicated cases, TVP’s Aira is an affordable workhorse that frees up a hospital's more complex machines for those who need it most. It’s a scalable design, using creatively selected components, designed to steer clear of stressed medical supply lines. I was invited to join TVP back in its infancy, when the pandemic was first ramping up. 



	
&#60;img width="2666" height="4000" width_o="2666" height_o="4000" data-src="https://freight.cargo.site/t/original/i/2757cc3ea7b8bc85292216fc401e79193779dce60b6244f615b4ae50114c4cb7/DSC04081_cropped.png" data-mid="87331964" border="0"  src="https://freight.cargo.site/w/1000/i/2757cc3ea7b8bc85292216fc401e79193779dce60b6244f615b4ae50114c4cb7/DSC04081_cropped.png" /&#62;1002a

	

&#60;img width="4000" height="6000" width_o="4000" height_o="6000" data-src="https://freight.cargo.site/t/original/i/7db09e78fb4952de3a972f5d4d0fc6a88e9cdcca0cab64644634f6b2e0b8d409/DSC04099.jpg" data-mid="87331852" border="0"  src="https://freight.cargo.site/w/1000/i/7db09e78fb4952de3a972f5d4d0fc6a88e9cdcca0cab64644634f6b2e0b8d409/DSC04099.jpg" /&#62;1002b
	
&#60;img width="3280" height="4920" width_o="3280" height_o="4920" data-src="https://freight.cargo.site/t/original/i/c853f46550e39f2d0ed9b6669c9482df65252e255105d27d666b3bc2b0e2b226/DSC04141.jpg" data-mid="87331854" border="0"  src="https://freight.cargo.site/w/1000/i/c853f46550e39f2d0ed9b6669c9482df65252e255105d27d666b3bc2b0e2b226/DSC04141.jpg" /&#62;1002c


As the first engineer on the team, I had the privilege of watching the organization expand from 5 to over 200 people working both on-site and remote. As the company grew, I became the engineering team-lead, managing over 20 people both on-site and remote, developing new architectures, and establishing critical partnerships with companies like MedAcuity. 
Aira was one of the few ventilators awarded FDA authorization for continuous, invasive ventilation in hospital settings. Our work recently won the Autodesk Excellence Award in Product Design &#38;amp; Manufacturing. We were also showcased in the Smithsonian’s Cooper Hewitt Museum of Design.

&#60;img width="4086" height="2184" width_o="4086" height_o="2184" data-src="https://freight.cargo.site/t/original/i/b079436c2de5d4412174eae24ae00f5acb423df7d528ddca5e75065dd55bfda5/ezgif-3-238d7afeb5d1.png" data-mid="87332722" border="0"  src="https://freight.cargo.site/w/1000/i/b079436c2de5d4412174eae24ae00f5acb423df7d528ddca5e75065dd55bfda5/ezgif-3-238d7afeb5d1.png" /&#62;
TVP / 1003Sending Devices for FDA Authorization

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	<item>
		<title>Watchtower</title>
				
		<link>https://noahpaciknelson.com/Watchtower</link>

		<pubDate>Sun, 01 Nov 2020 20:21:01 +0000</pubDate>

		<dc:creator>Noah Pacik-Nelson</dc:creator>

		<guid isPermaLink="true">https://noahpaciknelson.com/Watchtower</guid>

		<description>[ Watchtower Robotics ]

&#60;img width="640" height="960" width_o="640" height_o="960" data-src="https://freight.cargo.site/t/original/i/579a7930d7411fc2e27ac24199b846dc3731d11cd80b274f1acf6bd6f1c05fde/Scout_close.png" data-mid="87402174" border="0"  src="https://freight.cargo.site/w/640/i/579a7930d7411fc2e27ac24199b846dc3731d11cd80b274f1acf6bd6f1c05fde/Scout_close.png" /&#62;
&#60;img width="402" height="531" width_o="402" height_o="531" data-src="https://freight.cargo.site/t/original/i/117d81f65e8d6b7025bc332c3440b35f1fb40428fdfa3a4a4a9950f16462c894/watchtower_technology_fullbot.png" data-mid="87402176" border="0"  src="https://freight.cargo.site/w/402/i/117d81f65e8d6b7025bc332c3440b35f1fb40428fdfa3a4a4a9950f16462c894/watchtower_technology_fullbot.png" /&#62;
&#60;img width="1117" height="1500" width_o="1117" height_o="1500" data-src="https://freight.cargo.site/t/original/i/967763a2913bb68e20b5c2e79b9ca5b7b3171a45ed2536e84a5d31bbdb791053/180828_PipeGuard_022.jpg" data-mid="87402170" border="0"  src="https://freight.cargo.site/w/1000/i/967763a2913bb68e20b5c2e79b9ca5b7b3171a45ed2536e84a5d31bbdb791053/180828_PipeGuard_022.jpg" /&#62;
WR / 1001
The Evolution of Robots&#38;nbsp;
Watchtower Robotics is a startup out of MIT helping to solve the world’s water crisis. The company, which graduated from TechStars and won the diamond award at MassChallenge, looks to conserve the 20% of water that is lost every day due to leaking pipes. Using Scout, a soft silicone robot with a carbon fiber exoskeleton, a small team of workers can inspect miles of pipe quickly and effectively. Watchtower Robotics has run pilots in Saudi Arabia, Virginia, the UK, Australia, and in Massachusetts.
I joined Watchtower for soft robotics research and development, working across data science, manufacturing, and design teams to push the technology forward. As part of the company, I worked on 3D printed injection molds, flexible sensors, PCB designs for single board computers, and prototyped a hydrogel printer at the Autodesk BUILD Space for printing two-part liquids.

&#60;img width="1500" height="1000" width_o="1500" height_o="1000" data-src="https://freight.cargo.site/t/original/i/327cdaf2269ff78a14bc25a192f1b3996c5b851ca5d76ce6ec98268596e4c9f5/180828_PipeGuard_108.jpg" data-mid="87402125" border="0"  src="https://freight.cargo.site/w/1000/i/327cdaf2269ff78a14bc25a192f1b3996c5b851ca5d76ce6ec98268596e4c9f5/180828_PipeGuard_108.jpg" /&#62;&#60;img width="1200" height="675" width_o="1200" height_o="675" data-src="https://freight.cargo.site/t/original/i/e4ab0b703b8d4bc6a0ae44bcb217fcf55a0f0c41062f2469c7331a39fb990683/4a03e279-84f4-484a-9933-015cc3f43f15.png" data-mid="87402129" border="0"  src="https://freight.cargo.site/w/1000/i/e4ab0b703b8d4bc6a0ae44bcb217fcf55a0f0c41062f2469c7331a39fb990683/4a03e279-84f4-484a-9933-015cc3f43f15.png" /&#62;</description>
		
	</item>
		
		
	<item>
		<title>Brain Switch</title>
				
		<link>https://noahpaciknelson.com/Brain-Switch</link>

		<pubDate>Mon, 02 Nov 2020 01:34:04 +0000</pubDate>

		<dc:creator>Noah Pacik-Nelson</dc:creator>

		<guid isPermaLink="true">https://noahpaciknelson.com/Brain-Switch</guid>

		<description>[ Brain Switch ]&#60;img width="2254" height="675" width_o="2254" height_o="675" data-src="https://freight.cargo.site/t/original/i/c63b35da61d8ae5e59848f6fafeec33fe55b05139ba5d42948e9fd536f146446/AppArchitecture2.png" data-mid="89419806" border="0"  src="https://freight.cargo.site/w/1000/i/c63b35da61d8ae5e59848f6fafeec33fe55b05139ba5d42948e9fd536f146446/AppArchitecture2.png" /&#62;
BS / 2001
Architecture of Brain Switch

The Brain Switch is a complete brain-computer system allowing for real-time correspondence of simple user needs to a caretaker without speaking. This Switch acts as the first step in restoring communication to those with motor function disabilities, creating a solid foundation on which to develop additional technologies. In this architecture, two mobile devices connect to a server, one as the notification device used by the caretaker for remote insights and the other, used by or near the patient. 

The patient device streams packets of raw multi-channel electroencephalography data from a consumer grade brain-computer interface back to the server. With this information, a shallow convolutional neural network is trained and used to classify mental states in real-time. Using Brain Switch, the caretaker can be notified remotely, can ask questions, and monitor the well-being of the patient, all without a muscle being moved.
This project utilized a broad spectrum of skills, exploring data science pipelines, app development and server integration. Working with Dr. Nataliya Kosmyna in the Fluid Interfaces group, the initial prototype has been deployed to a patient with ALS and his family to begin testing and data collection. Dataset and paper in progress.


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&#60;img width="725" height="612" width_o="725" height_o="612" data-src="https://freight.cargo.site/t/original/i/cc4a5e069f2a9a05758712e2d49118bdfd29eb972208eb6d434ef2e4865d9bb3/BatchEffect.png-2.png" data-mid="89422528" border="0"  src="https://freight.cargo.site/w/725/i/cc4a5e069f2a9a05758712e2d49118bdfd29eb972208eb6d434ef2e4865d9bb3/BatchEffect.png-2.png" /&#62;
&#60;img width="733" height="700" width_o="733" height_o="700" data-src="https://freight.cargo.site/t/original/i/28f70e6d7c67cbb86764a8774c128dc6db29a7189adeee84d1c5bf58bb47cb0d/Picture1.png-1.png" data-mid="89422529" border="0"  src="https://freight.cargo.site/w/733/i/28f70e6d7c67cbb86764a8774c128dc6db29a7189adeee84d1c5bf58bb47cb0d/Picture1.png-1.png" /&#62;

BS / 2002Reducing Covariate Shift Across Intra-Patient Runs</description>
		
	</item>
		
		
	<item>
		<title>AttentivU</title>
				
		<link>https://noahpaciknelson.com/AttentivU</link>

		<pubDate>Sun, 01 Nov 2020 20:21:01 +0000</pubDate>

		<dc:creator>Noah Pacik-Nelson</dc:creator>

		<guid isPermaLink="true">https://noahpaciknelson.com/AttentivU</guid>

		<description>[ AttentivU ] &#38;nbsp;

&#60;img width="4425" height="1926" width_o="4425" height_o="1926" data-src="https://freight.cargo.site/t/original/i/0626145a808ca5479f9fc223309989aa619550942ebcf810ca6e2813b9dc051d/attentivu_side.png" data-mid="87336375" border="0"  src="https://freight.cargo.site/w/1000/i/0626145a808ca5479f9fc223309989aa619550942ebcf810ca6e2813b9dc051d/attentivu_side.png" /&#62;
AU / 3001
AttentivU Glasses with Printed Frames
AttentivU is a compact wearable, in the form of a pair of glasses, which measures brain activity from neuronal activations on the scalp (electroencephalography or EEG) and corneo-retinal standing potentials (electrooculography or EOG). With well-being as its focus, AttentivU guides users to healthier states of mind while prioritizing privacy. The research project is led by Dr. Nataliya Kosmyna out of the MIT Media Lab Fluid Interfaces group.
With the data that is collected by the headset, different cognitive processes are calculated in real-time including cognitive load, fatigue, engagement, and focus. Paired with an informative mobile application, AttentivU gives users comprehensive insights into their mental welfare and stages interventions when a detrimental state is detected. If someone loses attention while driving, AttentivU can provide haptic stimulation to guide them back to focus.

As part of the AttentivU team, I’ve worked on embedded hardware design and data science/machine learning frameworks. I designed and tested a new logic board for the platform with an 8-channel delta-sigma ADC for biopotential measurements, inertial measurement unit, and transceiver for wireless communications.

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