Confirmation Method for Flight Operators’ Interaction Based on the Improved Lightweight DenseNet

Author:

Wang Yawen1,Yao Yining2,Wang Changyuan2,Jiang Guangyi3,Xue Pengxiang1,Zhang Yu1

Affiliation:

1. School of Opto-electronical Engineering, Xi’an Technological University, 710021, Xi’an, Shaanxi, P. R. China

2. School of Computer Science and Engineering, Xi’an Technological University, 710021, Xi’an, Shaanxi, P. R. China

3. School of Computer Science, Xi’an Aeronautical Institute, 710077, Xi’an, Shaanxi, P. R. China

Abstract

Rapid and accurate confirmation of operational intent can improve the efficiency of flight operators in handling sudden emergencies. A lightweight DenseNet flight operator blink interaction confirmation method based on visual gaze is proposed to address the issues of low accuracy and long-time consumption in traditional methods for confirming operational intentions. After determining whether the visual gaze of the flight operator is located at the confirmation button, this method uses two consecutive blinks to confirm the intention of the operation. When performing blink recognition, an improved lightweight DenseNet network model is used, which only uses one block and introduces attention SEBlocks in its [Formula: see text]1 and [Formula: see text]2 layers. Through testing experiments on our own dataset with open and closed eye images, it has been shown that this method has higher accuracy and lower loss compared to the classical DenseNet for open and closed eye recognition. The interactive experiment of flight operation intention confirmation showed that this method requires a shorter time for operation intention confirmation.

Publisher

World Scientific Pub Co Pte Ltd

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Reference26 articles.

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