Human-centric Application in Cyber-Physical System: An Inertial-based Motion Capture and Recognition System

Abstract

Human-centric cyber physical system has become one of the most promising approaches in Industry 4.0. Humans are not obtained adequate attention in the traditional industrial process although humans serve as the orchestrator and beneficiary in the system. Human-centric physical system pertains to a safe and beneficial working environment, to the respect of human rights. This paper implements the inertial motion capture system into the industrial process, which supports to monitor human’s motion and recognize working activities regarding the assessment of the ergonomic performances. The inertial motion capture system integrates wearable inertial measurement units and the Unity3D application together for reconstructing human motion. Quaternion-based calibration algorithm is employed to achieve sensor-to-body segment alignment. Convolutional neural network based model classifies different activities of an assembly task when motion data are input of the deep learning network. The feasibility of the proposed system is validated by experiments.