500 People - Driver Gesture Recognition Data

Driver Gesture Collection Data

Driver Gesture Collection

Driver Collection Data

Driver Gesture Data

500 People - Driver Gesture Recognition Data covers multiple age groups, multiple time periods, and multiple gestures. In terms of acquisition equipment, visible light and infrared binocular cameras are used. Each person collected 18 static gestures and 23 dynamic gestures. Static gestures included fist-clenching gestures and heart-to-heart gestures, and dynamic gestures included index finger clicks and two-finger clicks. This set of driver gesture recognition data can be used for tasks such as driver gesture recognition.

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Specifications

Data size

500 people, each person collects 18 static gestures and 23 dynamic gestures

Gender distribution

male, female

Nationality distribution

Vietnam

Age distribution

18~45 years old, 46~60 years old, over 60 years old

Collecting environment

in-car camera shooting scene

Data diversity

covering multiple gestures, multiple age groups, and multiple time periods

Device

visible light and infrared binocular camera, resolution are 1,920x1,080

Shooting position

the center of the interior rearview mirror, the top of the center console, the top of the A-pillar on the left side of the car, the steering wheel position

Collecting time

day, evening, night

Collecting light

normal light, weak light, strong light

Vehicle type

car, SUV, MVP, truck, coach

Data format

the video data format is .mp4, the image data format is .jpg

Accuracy

based on the accuracy of the actions, the accuracy exceeds 95%;the label naming accuracy rate is over 95%

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