 Hello, my name is Sai Amunur, today I'm going to talk about tracking personal health during the pandemic. This is a prerecorded talk. I chose to record my talk because of time zone differences. I have included my contact information in the last slide. Please do get in touch with me if you have any questions about today's talk. I really hope you enjoy this talk. A little bit about myself. I'm an IoT applications engineer at Lindy in Buffalo, New York. In case you have not heard of Lindy, Lindy is an industrial gases company and you have probably used Lindy's products in your life if you have ever consumed fast food, excuse me if you have ever consumed a beverage, a carbonated beverage at a fast food restaurant or a helium balloon or purchased a helium balloon at a party supply store. In my free time, I like to build products that help improve my quality of life. I like to share my projects at Maker Ferts across the country and I'm also recognized by Intel as an IoT innovator. A little bit about design ably. My brother and I started this nonprofit to build low cost open source products that could be used by people with chronic health conditions and we strive to develop products that could be easily built by others and improved upon. We do this remotely collaborate on these projects and time to time. We include external partners on some of these projects and today I'm going to share about some of the stuff we built during the pandemic. Our process is basically we try to identify problems in our immediate surroundings. We take it forward with a prototype. We try to improve upon each generation of the prototype and we publish the designs in various conferences as well as make them available through our GitHub repositories. Now, why did we pick personal health? We come from a family that actually struggles with that actually has gone through chronic health conditions through several generations and since my brother and I are both engineers, we wanted to give back to the community by building products that help people with chronic health conditions and like you know keeping track of you know like you know helping people with chronic health conditions is something very personal to both my brother and myself. So we actually a couple of years ago we actually built this personal health dashboard using a Raspberry Pi Zero. So this personal health dashboard was basically built using a shadow box from an arts and crafts store and we used an RGB LED strip and a Raspberry Pi Zero where we collected like our physical activity data from our you know wearable you know trackers app and you know and light up the LEDs of this strip like a progress bar. So as we make like as we walk a thousand to 50 steps for every thousand to 50 steps we walk the LED lights up green in color so there are a total of eight LEDs so it lights up as you make progress and once you hit the dialy step go the entire RGB strip is green in color. So we built this dashboard to you know to motivate ourselves to stay physically active and we wanted to improve upon this design where we decided to build this giant seven segment display using five and seven segment digits and we did several experiments with this display where initially we were counting up to our daily step go we found out that it doesn't exactly give us an idea of the level of physical activity required on a slow day for example so we decided to count down from our daily step go so that actually you know gives you an idea of like you know how long should you walk should you mix up your physical activity so that you hit your daily step go sooner. This display actually sits in my living room serving as a stark reminder that I should get up and you know walk around for a little bit. Then the COVID pandemic hit where we were all pushed into a strange world where we had to conduct daily temperature screenings you know monitor for symptoms for example my workplace required that I conduct daily temperature screenings that's when we came up with the idea of building a non-contact thermometer based screening station. In this picture here you can see raspberry pi interface to a camera and a tower light and a thermal sensor so the idea here is that when a person is you know comes in front of the camera the IR grid sensor is used to conduct the temperature screening and it gives a go no go decision based upon the temperature measured. This sensor is somewhat affected by you know external environment conditions so based upon the room temperature the temperature measured could be higher or lower so the best you could do is you know whether detect whether or not a person has fever. Now this is not good enough because you know the body temperature varies from person to person that actually motivated us to go find a variable you know to go build a variable that could actually measure body temperature. We came across this contact thermometer sensor called the Max 30205 so we built a very small variable device that can actually provide body temperature measurements you know with that's rated for clinical accuracy even with this sensor there is a shortcoming because you know body temperature measurement is best you know is accurate when you actually conduct these measurements either under your armpit or like you know on your fingertips you know there are only certain parts of your body where like external temperature measurements or comes close to the comes really close to the accurate measurement but that you know that is good enough like you know that actually provides a sense of whether or not you are running a fever this contact thermometer actually you know like it comes really close to the clinical grade thermometer sensors so we decided to actually improve on this design where we built a you know a second generation of this design where we actually added a Bluetooth module to the variable so that you could automatically record your daily temperature measurement so whenever you conduct you know temperature measurement the data is automatically pushed to your smartphone. Now as a part of you know so for the past year we have also been we all have been working from home and research has shown that you know in order to stay healthy you have to make sure that you know your indoor air quality you know is at a is at a healthy level so we actually purchased various indoor air quality sensors and we built you know we worked on various projects around monitoring indoor air quality so for example on the left here we have used a Raspberry Pi 0 to interface it to a VOC sensor that constantly monitors the equivalent carbon dioxide levels in the room and it changes its color there is the RGB LED that's interface to the Pi 0 changes its color according to the measured carbon dioxide levels in the room now we also wanted to see like you know what is the air quality in different rooms at different times of the day so we built this battery powered device that could be connected to any iSquad C based any sensor that comes with an iSquad C interface and it could it could run without having without needing a battery change for several years so this is an active experiment where we have installed multiple sensor nodes around the house and we are collecting data and we plan to publish this information once we have further refine this design so these are the various things that my brother and I you know collaborate and work together we publish all of our designs in our GitHub repo and if you do have any questions please get in touch with me at my email address yamonursai.com and I hope you have enjoyed today's talk thank you