Smart Wearable Posture Corrector with Integrated Muscle Fatigue Detection Using Ai

Abstract

Musculoskeletal Problems are increasingly popular these days in students, office-workers and other make of long sitting or continuous physical activities. One of the leading causes of back pain, neck pain and other spine problems is bad posture and constant muscle strain. Often, muscle fatigue goes unnoticed and is late in” comping “so injury risk is increasing. To tackle this problem, in this paper we present a smart wearable posture correction system integrated with muscle fatigue detection. The device proposed in [24–26] utilizes MPU6050 accelerometer and gyroscope sensor to track the body orientation related to an abnormal Imation position such as slouched and forward bent. Open EMG is an Electromyography (EMG) signal and fatigue acquisition and analysis platform that uses a minimally intrusive EMG sensor to monitor muscle activity and detect fatigue. Then, the obtained sensor data is analyzed by machine learning methods such as K-Nearest Neighbors (KNN) and Random Forest so that the posture status and fatigue state are well identified. If the user isn't in a proper posture or too tired, the device will also give a vibration reminder as real-time feedback to stretch and correct their posture.

The collected data is also transmitted to a cloud for visualization and long-term study. This wearable device provides your posture support to keep the muscles in perfect alignment and helps you avoid musculoskeletal diseases.