Academy & Industry Research Collaboration Center (AIRCC)

Volume 12, Number 20, November 2022

Utilizing Deep Machine Learning to Create a Contextally and Environmentally
Aware Application to Prevent Spinal Tendonitis


Barry Li1 and Yu Sun2, 1USA, 2California State Polytechnic University, USA


Recently, we have discovered when a person is using their computer, they often begin to lean forward toward the screen without noticing. Leaning forward can cause many problems in their body, especially to the back bone known as spinal tendonitis, and the problem can spread throughout the entire body [1][2]. I created an app to warn usersto sit up straight when they lean toward the screen too much, effectively protecting them from damaging their back bone. This app uses deep learning to calculate the body posture, and draw an imaginary triangle between the shoulders, hips, and knees [3]. The point at the hips is most vital in calculating the angle of the body. This app takes pictures in a given interval of time (by default 30 second), when the body leans forward, this angle decreases, and when the angle becomes lower than a given amount (by default 30 degrees), it will send a warning message to ask the user to fix their sitting posture [4].


Machine Learning, Application, Spinal Tendonitis.