Posture Guardian With Smart Muscle Strain Detection And Correction Using TINYML

Abstract

Millions of dollars are spent in the healthcare business on muscle strain-related illnesses, notably low back pain. Inadequate posture is typically the cause of lower back discomfort, especially in the transverse abdominal muscle. Intelligent monitoring systems encourage proper posture and exercise on a global scale to improve quality of life and treat this frequent issue. As pervasive intelligent technology emerges, medical equipment such as pulse monitors, hearing aids, and health monitors are being developed. This research discusses the design, development, and testing of a tiny wearable interface that uses an array of sensors to monitor and notify a person's back position in real time. A good posture helps to alleviate muscle stress during physical exertion and promotes general health. As a result, a gadget capable of detecting and correcting improper posture has become important. We created a wearable electromyography (EMG) sensor and flex sensor. EMG and flex sensors are used in our technology to monitor human posture and decide if it is right or improper. TinyML (Tiny Machine Learning) is used by our technology to assess and categorize posture data in real time, offering quick feedback and remedial help. Our TinyML-powered Smart Posture technology helps people improve their posture, reduce muscle discomfort, and improve their overall health and quality of life.