If you’ve been following along with my FOMO glasses journey, then you know I’m trying to build a pair of glasses that capture a photo every time you blink. In my first post, we discussed the idea behind my project, and the implications the success of the project can have. In the second, we discussed the nature of an eye blink signal, and how the data is being processed. Today, we’re talking about hardware and how I’m actually putting the thing together, so check out the other posts if you haven’t had the chance yet!
With my project, while the signal of an eye blink is stronger and easier to detect than others, the hardware aspect presents an entirely new challenge. How are we going to get everything to communicate together and fit on a pair of glasses?
Call for HS Teachers and Undergraduates in Biology, Engineering and the Arts:
Calling all AI and neuroscience nerds (AND nerd wannabes): We are back!
After taking a hiatus due to a global pandemic, we are proud to announce that we are returning with a very special guest star: TinyML! Tiny Machine Learning (TinyML) is a deep learning toolkit made for tinkers, educators and for those who want to know how machine learning really works… and we are excited about what it could mean to neuroscience educators!
For the first time ever, we are inviting K12 teachers to be a part of our summer program! Learn how to integrate Machine Learning into your project-based lessons and help provide feedback on our teaching tools and project curricula!
This summer, our fellowship program will focus on developing creative, wearable, and fun human-machine interfaces that can react with your brain waves, muscle, heart and eye movements using Deep Learning. You will learn the basics of neuroscience, computational thinking, machine learning, electronics, and will go from start to finish on developing your very own project. You will get support from our in house scientists and experts through every stage of your project.
Our AI Fellowship program will be designed around 2 cohorts. The first are undergraduates with a background in Neuroscience, Art, Electrical, Mechanical or Computer Engineering, where they learn how to develop their own innovations, conduct fun experiments around computational neuroscience. We are also recruiting High School teachers interested in learning about AI and how to teach hands-on AI lesson plans in their classroom. Teachers will participate remotely from around the country (1hr / week), and will help guide our projects for optimal use in the classroom.
This fellowship is focused on developing computational skills. To do so, you will learn how to read and write peer-reviewed papers, discuss and plan around ethical concerns of using AI, learn how to develop a project and collect data, how to analyze and test results, how to make your own scientific poster and present your work to the academic communities, and finally how to speak to the public about your work. This program is unique: instead of working on a small part of the bigger project… all fellow projects are yours alone! We will support and guide you through, but you will experience everything from inception to publication… much like the life of a graduate researcher. No prior research experience is necessary or required!
It isn’t official in many states yet, but let’s face it. The writing is on the walls: School is out for the year! Many students may think this is an opportunity to play unlimited Fortnite… or maybe Valorant if they were lucky enough to get a beta key! But as parents and educators, it is our responsibility to keep their minds and bodies engaged.
Many students may be continuing their year with online courses and activities. Many might not be. Social Distancing has become an unexpected civic duty – so what does that mean for learning?
First, there is a new emphasis on online learning. There are many great opportunities for students, even without their school district’s support, to use websites like Khan Academy to continue their expected grade-level education – and with motivation, likely even exceed it!
Khan Academy, and other similar online resources, are fantastic for all subjects, with one exception: Hands-On Science Labs.
Fortunately, there are a number of affordable toys, tools, and devices currently available that can help teach science, coding, and engineering. We recommend Littlebits and Sphero for those trying to engage their stay-at-home students with introductory robotics, engineering, and computer science. But what MORE is out there… how can you push the MIND AND BODY?
Now, here comes the pitch. If you’re reading this blog, likely you are already enthusiastic about the opportunity to engage your students and children with Neuroscience labs and activities. But let’s not stop there, many students now are no longer attending gym classes, nor do they have access to exercise equipment. To counter the lack of hands-on science labs and the risk of an increasingly sedentary lifestyle among students, check out these awesome opportunities to engage your whole household in dynamic exercise science and engineering labs!
Feats of Strength! Analyze Muscle Strength and Fatigue and compete in your household.
Using the Muscle SpikerBox Pro you and your stay-at-home students can perform meaningful sports science experiments and turn it into an exercise competition!
First, some quick vocab: Isometric exercises are “static” strength training exercises where you “tense” your muscles but you don’t “move” them – for example, try pushing your hands together as hard as you can, while engaged as many arm muscles as possible! Phew, what a workout… but you didn’t budge an inch!
Begin by setting up the electrodes to record from the subject’s dominant-arm bicep (like in the picture above!)
Have the subject curl their first/forearm up until it comfortably reaches the peak of its range of motion
Now begin recording, and ask the subject to flex their bicep as large as they can!
The recording might not last very long – That’s fine! Scroll back in SpikeRecorder, or open the recording, and select a window (hold right click and drag) that lasts for about half a second near the peak of the signal.
Record the RMS value – that is your peak signal strength!
Perform this experiment and compare your results with every member of your family! Who can score the highest?
Now, twice a week (Perhaps Monday and Thursday!)Perform the experiment and record the data on a whiteboard or large sheet of paper somewhere in the house. Keep track over time and see if daily exercise improves your max signal strength over time!
Strength is a fun and obvious metric, but it isn’t “normalized” by age, size, or athleticism. Muscular Endurance, however, can be “normalized,” meaning that it doesn’t matter who is the “strongest,” but rather, who can maintain muscular contraction proportional to their own strength over time. This makes Muscle Fatigue a very competitive metric between anyone!
Follow the instructions on the Modeling Rates of Fatigue experiment page. Add this metric to your score-sheet you started with the Muscle Strength competition! Is there a relationship between top strength and top endurance? Do they both improve linearly? These are exciting questions that you and your household can investigate by recording data as frequently as you’d like (we recommend at least bi-weekly!)
Resting Heart Rate
If you are a runner, or know runners, you might be clued into a peculiar competition amongst cardio-athletes… Who has the lowest resting Heart Rate?
Collect data from everyone in your household following these two conditions:
Resting heart rate
Heart rate following 10 push ups, 10 sit ups, and 20 jumping jacks.
Twice a week (Perhaps Monday and Thursday! Perform the experiment and record the data on a whiteboard or large sheet of paper somewhere in the house.
Lastly, a Lesson in Empathy and Engineering
If you have a typically abled student, have them spend a day with an “arm tied behind their back” at the end of the day, the student can journal about the experience, what was easier, what was harder, and what they might feel they had previously taken for granted.
Have them specifically detail THREE problems that they encountered.
Or, if your students are non-typically abled, have them describe and detail THREE mobility challenges they face.
Then have them come up with engineering design solutions for a prosthetic that could solve the problems they detailed. Use arts and crafts materials to create some prototype models, then use the servo motor from the DIY Neuroprosthetic Kit to try and make a working prototype – check out a great example below!
The Tools to Enable these Experiences
Muscle SpikerBox Pro
Heart and Brain SpikerBox
DIY Neuroprosthetic Kit
Looking for More Student Project Inspiration?
Check out these other blog posts featuring student research to guide and spark your own investigations: