Document Type
Honors Thesis
Abstract
During the pandemic, the majority of the working population spent most of their time doing sedentary desk jobs. As a result, they may have developed inadequate spine posture, which can cause profound implications such as back pain if not corrected at an early stage. Implementation of machine learning and computer vision has allowed us to capture and analyze video input from the user’s cellphone to remind them whenever they are not in the correct position. To further support users, a chat feature has been implemented through which the users can quickly get in touch with orthopedic experts for evaluation and feedback. With the help of strategies from kinesiology, a comprehensive analysis has been conducted to find the root cause of abnormality in the spine. As a result, anyone can instantly monitor their posture and make minute corrections to recover swiftly after consultation or a medical operation.
Publication Date
5-1-2022
Language
English
Faculty Mentor of Honors Project
Bobbie Brown
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Pathuri, Sri Subhash, "DOCTOR-PATIENT REAL TIME CHAT APPLICATION" (2022). 2022 Spring Honors Capstone Projects. 34.
https://mavmatrix.uta.edu/honors_spring2022/34