Pilot behavior recognition based on multi-modality fusion technology using physiological characteristics

Y Li, K Li, S Wang, X Chen, D Wen - Biosensors, 2022 - mdpi.com
With the development of the autopilot system, the main task of a pilot has changed from
controlling the aircraft to supervising the autopilot system and making critical decisions …

EMG-based 3D hand motor intention prediction for information transfer from human to robot

AG Feleke, L Bi, W Fei - Sensors, 2021 - mdpi.com
(1) Background: Three-dimensional (3-D) hand position is one of the kinematic parameters
that can be inferred from Electromyography (EMG) signals. The inferred parameter is used …

Characterization of signal features for real-time sEMG onset detection

G Cho, W Yang, D Lee, D You, H Lee, S Kim… - … Signal Processing and …, 2023 - Elsevier
Objective Onset detection of surface electromyography (sEMG) is useful in sEMG-controlled
systems because it can reduce the response delay to user intention. Various data …

A Survey of EEG-Based Driver State and Behavior Detection for Intelligent Vehicles

J Ju, H Li - IEEE Transactions on Biometrics, Behavior, and …, 2024 - ieeexplore.ieee.org
The driver's state and behavior are crucial for the driving process, which affect the driving
safety directly or indirectly. Electroencephalography (EEG) signals have the advantage of …

Recognition of Different Turning Behaviors of Pilots Based on Flight Simulator and fNIRS Data

J Yuan, X Ke, C Zhang, Q Zhang, C Jiang… - IEEE Access, 2024 - ieeexplore.ieee.org
Pilot operational behaviour directly affects aviation safety, and exploring pilot behaviour can
help decode, model, and predict pilot behavioural decisions. Therefore, it is necessary to …

A Review of Physiological Signal-Based Driving Behavior Analysis

K Gao, W Jia, R Du, LH Liu, X Liu - International Conference on SmartRail …, 2023 - Springer
The casualties and property damage caused by road traffic accidents have made road safety
a focal point of social concern. Human causes account for more than 90% of traffic …

Driver intention recognition based on error-related potentials

Y Wu, B Shen, J Zhan, X Xiang - … International Conference on …, 2024 - spiedigitallibrary.org
Through the collection and analysis of drivers' electroencephalogram (EEG) data, this study
extracts characteristics of Error-related Potentials (ErrP) to real-time capture drivers' decision …

[引用][C] REHABILITATION PROCESS TO CONTROL AND PREDICT USER HAND GESTURES THROUGH EMG SIGNAL-BASED REINFORCED TRANSRADIAL …

S Surya, S Ramamoorthy - Journal of Mechanics in Medicine and …, 2024 - World Scientific
Assistive devices support disabled people through object traction intention and prediction.
To develop a smart assistive device to support paralyzed patients through the flexible nature …