Wearable Medical Gyro Sensors Based on Joint Tracking for Elderly

Abstract

Abstract This article concentrates on Linear Quadratic Estimation Hybridised Computer Algorithm (LQE-HC) which has been proposed to detect the behavior method of muscles with the implementation of accelerometers to find the angular speed of joints. Remote monitoring can give valuable data on regular exercise level and functional potential of individuals. Furthermore, a low drift in the observed speed leads to a longer integration error. Supplementary data from gyroscopes are normally fused with the Linear Quadratic Estimation (LQE). A computer algorithm structurally measures instructions to a wearable device so that an optimal muscle stimulation sequence is inducted for goal muscle powers.