Construction of data acquisition and transfer model for milling machine technology based on embodied cognitive science (ECS)

Report 2 : measurement of autonomic and central nervous system

Abstract

It is aimed to make clear the most effective training logics to let beginners to acquire milling machine technology. In the 2nd report, worker's autonomic and central nervous system activities were measured during milling machine operation to compare these characteristics of expert to experienced. LF/HF, an index of sympathetic nervous activity, was obtained with the worker's heart rate variability to evaluate the autonomic nervous system. Hemoencephalography (HEG) sensor based on near-infrared spectroscopy (NIRS) was used to estimate brain activity from the blood flow of prefrontal cortex. As a result, Expert-experienced differences in LF/HF suggest that the experienced gets more stress than the expert. Though apparent difference in the brain activity was not observed, the blood flow of prefrontal cortex in the expert during the operation may increase more than that in the experienced.