Sit-to-Stand Intention Estimation Method Using the Angle of Forward Trunk Inclination and Leg Electromyograms

In this study, we propose a sit-to-stand intention estimation method and verify its effectiveness. The proposed method uses the trunk forward inclination in sit-to-stand movements and the order of the associated activity of the lower limb muscles to estimate the sit-to-stand intention without learning data or recalibrating. The evaluation results of the proposed method on three subjects, who performed the sitto-stand movements, including three types of noisy movements, shows that the movement is predicted 211 ms before it commences with a 98.3% accuracy.