PosturePerfect: Smart T-shirt for Real-Time Posture Correction and Monitoring

Posture-related back pain degrades mobility and quality of life for many who experience it. Building a healthy posture can reduce strain on the spine and help avoid these back problems. However, recognizing and correcting one's posture can be difficult to accomplish on one's own. In this work, a wearable technology solution is presented. Using a T-shirt with embedded flexural strain sensors, this work enables users to recognize when they have bad posture and correct it in real time. To extract useful information from the flexural strain sensors, a machine learning algorithm was trained to utilize the flexural strain sensor output to predict whether the user had good posture, leveraging existing vision-based algorithms to extract human pose. The model demonstrated high accuracy, showing the viability of this technology. Overall, this work presents a reliable, non-intrusive solution for monitoring and correcting bad posture, which can provide valuable feedback and reduce overall back-related problems.

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Publication Details

Journal
Journal of Student Research
Published
2024-08-31
DOI
https://doi.org/10.47611/jsrhs.v13i3.7360
Primary Topic
Ergonomics and Musculoskeletal Disorders
Type
article
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article

PosturePerfect: Smart T-shirt for Real-Time Posture Correction and Monitoring

Shiraz Zahoori, Saba Usmani
Journal of Student Research
Ergonomics and Musculoskeletal Disorders
article

PosturePerfect: Smart T-shirt for Real-Time Posture Correction and Monitoring

Shiraz Zahoori, Saba Usmani
article en

Abstract

Posture-related back pain degrades mobility and quality of life for many who experience it. Building a healthy posture can reduce strain on the spine and help avoid these back problems. However, recognizing and correcting one's posture can be difficult to accomplish on one's own. In this work, a wearable technology solution is presented. Using a T-shirt with embedded flexural strain sensors, this work enables users to recognize when they have bad posture and correct it in real time. To extract useful information from the flexural strain sensors, a machine learning algorithm was trained to utilize the flexural strain sensor output to predict whether the user had good posture, leveraging existing vision-based algorithms to extract human pose. The model demonstrated high accuracy, showing the viability of this technology. Overall, this work presents a reliable, non-intrusive solution for monitoring and correcting bad posture, which can provide valuable feedback and reduce overall back-related problems.

Journal of Student ResearchVol. 13(3)
University High School (US)
Openalex Percentile: Top 62%
Ergonomics and Musculoskeletal Disorders
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PosturePerfect: Smart T-shirt for Real-Time Posture Correction and Monitoring — Shiraz Zahoori, Saba Usmani · Journal of Student Research (2024) | TGRS Research Map | TGRS