ORCID Identifier(s)


Document Type

Honors Thesis


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




Faculty Mentor of Honors Project

Bobbie Brown



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