Table 1 Summary of reviewed publicly available datasets for human behaviour research in driving.

From: A multimodal physiological dataset for driving behaviour analysis

Attribute

Dataset

Tasks

Amount

Annotation

Modalities

Engineering

Pedestrian Collision Avodiance Dataset85

Turning

12 participants

Driver Assistance

sEMG

Computer Science

Honda Research Insitute Driving Dataset86

Turn Lane-change

104 hours

Driving Scene Understanding

Camera, LiDAR, GPS,IMU and CAN

100-Car Naturalistic Driving Study (NDS) Dataset87

Crashes, near-crashes, other “incidents”

100-car

Driving behavior and Performance

Video, Vehicle state and kinematic sensors

Vehicle Driving Behaviour88

Acceleration, normal driving, collision, turn

1032 events

Driving behaviour

Six-axis sensor

Driving behavior Dataset89

Sudden Acceleration, Sudden Breaking, Sudden Turn

3 participants

Driving behaviour

Accelerometer gyroscope

Driving Style Recognition Dataset90

Turning, Acceleration, Deceleration

10 participants

Driving style

GPS, Driving recorder

Psychology

multimodal distracted driving dataset42

No distraction, cognitive distraction, emotional distraction, sensorimotor distraction

68 participants

distracted driving

EDA, palm EDA, heart rate, breathing rate, facial signals, eye tracking

sustained-attention driving dataset43

fatigue and drowsiness

27 participants

sustained-attention driving task

EEG

multimodal driving emotions dataset44

Anger,Fear, Disgust,Sadness, surprise,Happniess, Neutural

40 participants

driving emotion

EEG, video, psychological data, rgb camera, infrared camera vehicle behaviour

Collision Threat Dataset9

Brake

25 participants

Emergency

EEG

Ours

Smooth driving, Acceleration, Deceleration, Lane-change, Turning

35 participants (6052 events)

Driving behaviour

EEG,EMG,GSR, ECG,Eye tracker

  1. IMU = inertial measurement unit, CAN = controller area network, GPS = global positioning system, ECG = electrocardiography, EMG = electromyography, GSR = galvanic skin response, EEG = electroencephalogram, sEMG = surface electromyography.