Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : October 18, 2024 - October 20, 2024
We have developed FQHNN (Fuzzy Quantification Theory Embedded Holographic Neural Network) which has been already applied to various problems successfully because of its causality and versatility. It is confirmed the excellence of the FQHNN in the time series against LSTM (Long Short- Term Memory). We try to develop concentration confirmation system with facial expression analysis based on FQHNN in the time series. At last we discuss whether the system can be applied to judge the concentration of the driver of auto-driving car in real time