http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
EMGNet: Driver’s Intent Prediction using Neurosignals
Shoaib Azam,Farzeen Munir,Unse Fatima,Moongu Jeon 제어로봇시스템학회 2021 제어로봇시스템학회 국내학술대회 논문집 Vol.2021 No.6
Many traffic accidents happen because of the negligence of the human drivers. The recent development in sensor technology provide a way to understand the human intent while driving. In this work, we have developed a neural network EMGNet that utilizes the electromyography (EMG) signals fused with inertial measurement unit (IMU) data from a wearable sensor placed on the driver forearm to predict the driver intention prior to actual movement of steering wheel. The experimental evaluation shows 76 % accuracy in predicting the driver’s intention with 1600 µs earlier the actual movement on the steering wheel.