Project
| # | Title | Team Members | TA | Documents | Sponsor |
|---|---|---|---|---|---|
| 31 | Muscle Highlighting Fitness Device |
Anushka Pachaury Sangyun Lee Sreyas Dhulipala |
Sainath Barbhai | design_document1.pdf design_document2.pdf final_paper1.pdf presentation1.pptx proposal2.pdf proposal1.pdf video1.MOV video3.mp4 |
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| Team Members: Sreyas Dhulipala(sreyasd2), Anushka Pachaury(ap39), Sangyun Lee(slee677) Problem: - Many people are new to fitness workouts and do not have a proper understanding of what muscles are being used when doing specific exercises. Even if they do understand, they may not perform the exercises correctly and therefore, not be activating the muscles that they would expect to. Solution Overview: - Our solution is to create a fitness device that specifically focuses on muscles in the arm including biceps(front of upper arms), triceps(back of upper arms) and forearms(lower arm). This device would be in the shape of a sleeve that the user would put on while working out their arms. This sleeve would contain multiple sensors throughout to detect various muscle activity. Additionally, each sensor would have an LED corresponding to it which would light up if the sensor recognizes muscle activity. The main goal would be for users to be able to recognize the muscles they are activating through the sleeve and to be able to make self adjustments if they realize they are not activating the correct muscles corresponding to the specific exercises they are performing. - In order to isolate which muscle is being targeted, we plan on placing EMG sensors and LEDs near the locations of different muscles. Our goal is to create a sleeve where muscles that are being contracted and used more, have a brighter illumination compared to muscles that may not be used as much during an exercise. For example, if someone is performing bicep curls, they would be contracting and using the bicep the most, but another muscle such as the tricep could also be used to a lesser extent. In this case, the EMG sensor near the bicep would provide a larger amplitude value compared to the EMG sensor near the tricep. The amplitude returned by the sensor defines the strength and intensity of the muscle being contracted. Using this amplitude value, the LED corresponding to the bicep EMG sensor would light up brighter than the LED corresponding to the tricep EMG sensor. This method provides the user with information regarding all muscles on the arm which are activated during the exercise as well as the intensity of which they are being used. Project Components: Sensor Subsystem - EMG sensor for muscle movement detection - https://www.youtube.com/watch?v=gHsZ0bwxMsg&ab_channel=UniversityofDerby - The video attached above demonstrates how an EMG sensor is able to record electrical activity that follows a muscle contraction which takes place when the user is performing arm specific workout such as bicep curls using dumbbells. Additionally, the sensor is able to clearly show significant differences in electrical activity when different weights are used. Processing Subsystem - The sensor data would be sent to the microcontroller. Using the data provided by each sensor, the microcontroller would be programmed to rank their outputs based on amplitude value from greatest to least. In order to provide an accurate illumination for the LEDs for each sensor, we plan on taking the percentage difference from each pair ranking and using that to determine the LED intensity output. For example, in the exercise a close-grip chin up both the bicep and tricep muscles are activated equally. After ranking, let’s assume the bicep sensor ranked first and the tricep sensor was second, but their amplitudes were very close. In this case, the percentage difference would be very less and therefore their difference in LED illumination intensity would be less. Power subsystem: - We would use USB power to charge the device Criterion for success: - An arm sleeve that is easy to put on during workouts: Specifically, we can plan to create holes in the sleeve so that there is direct contact between the EMG sensors and the skin. - The charge will be able to last for the entire duration of a workout - Specific detection of which arm muscle is being worked out with high accuracy - Illumination intensity scaled according to intensity of arm muscle activation |
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