Neuro-Robotic Flex Sensor-based Posture Detection and Correction for Rehabilitation

Abstract

The world is renowned for the upgradation of emerging technologies that revolutionizes the day to day activities. It is a prime concern for the people who are constantly involved in both physical and mental practices. Majority of the population depends on the act of functionality to procure various transformations and reforms for their well-being. This significantly impacts the wellness of people thereby causing several difficulties in their central nervous system leading to spinal cord abnormalities. The difference in postures of a human body defines the spine alignment intrinsically in their morphology. This paper contributes to the detection of postural analysis and its integration with the alert system for the prevention of anomalies caused in spinal cord. The system measures with accurate evaluation of flex values, body temperature, body acceleration and rotation angles with all X,Y,Z axes. The utilization of flex sensors has improved the methodology of measuring the difference in postures and benefitted the process to be efficient. It improves real-time detection and correction using flex sensors and MPU6050 (6 axis). Flex sensors are prone to wide applications that helps in determining the posture detection and its significance with buzzers for alert system. Deviations of the conventional postures are detected with LED alert system and displayed by LCD. This helps to identify and correct the anomalies caused in the spine alignment for prevention of severe complications.