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559,460 Videos - 50 Types of Dynamic Gesture Recognition Data_Mobile APP Data Solution_Datatang_559,460 Videos - 50 Types of Dynamic Gesture Recognition Data

559,460 Videos - 50 Types of Dynamic Gesture Recognition Data

  • 559,460 videos
  • 5 angles
  • multiple scenes, multiple light conditions
Sample

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559,460 Videos - 50 Types of Dynamic Gesture Recognition Data_Mobile APP Data Solution_Datatang 559,460 Videos - 50 Types of Dynamic Gesture Recognition Data_Mobile APP Data Solution_Datatang

Data Introduction

559,460 Videos - 50 Types of Dynamic Gesture Recognition Data. The collecting scenes of this dataset include indoor scenes and outdoor scenes (natural scenery, street view, square, etc.). The data covers males and females (Chinese). The age distribution ranges from teenager to senior. The data diversity includes multiple scenes, 50 types of dynamic gestures, 5 photographic angles, multiple light conditions, different photographic distances. In terms of data annotation, collecting scene, season, time, angle, device, light condition, video data format, resolution, fps (frames per second), as well as the race, gender and age of the subject were labeled in the metadata. This data can be used for dynamic gesture recognition of smart homes, audio equipments and on-board systems.

Data Specification

Data size
559,460 videos, 220,030 videos were collected by laptop, 339,430 videos were collected by cellphone or iPad
Population distribution
the race distribution is Asian (Chinese), the gender distribution is male and female, the age distribution is under 18 years old, 18-40 years old, and over 40 years old
Collection environment
including indoor scenes and outdoor scenes (natural scenery, street view, square, etc.)
Data diversity
including multiple scenes, 50 types of dynamic gestures, 5 photographic angles, multiple light conditions, different photographic distances
Device
cellphone, iPad, laptop
Collecting angle
front, left, right, up and down
Collecting distance
0.3m, 0.6m, 1m, 2m, 3m
Data format
the video data format is .mp4, .mov, .wmv
Collecting content
dynamic gestures of the left and right hand were collected at 5 photographic angles respectively
Annotation content
collecting scene, season, time, angle, device, light condition, video data format, resolution, fps (frames per second), as well as the race, gender and age of the subject were labeled in the metadata
Accuracy
based on the accuracy of the gesture actions, the accuracy exceeds 97%; the accuracy of the video naming exceeds 97%; the accuracy of metadata file annotation exceeds 97%

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Data Features

559,460 Videos - 50 Types of Dynamic Gesture Recognition Data

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559,460 Videos - 50 Types of Dynamic Gesture Recognition Data_Mobile APP Data Solution_Datatang