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Journal of System Simulation

Abstract

Abstract: Hand posture is an important carrier of human-computer interaction, and the acquisition and recognition of posture information largely depends on the hand posture dataset. Existing datasets can be divided into two categories, real datasets and synthetic datasets. As real data is limited by equipment, environment, and other factors, the classification of hand posture is insufficient and the annotation is mixed with a lot of manual errors. The existing synthetic data can solve the data scale problem of real data, but the synthetic hand posture volume is limited and with some unreasonable kinematic postures of which the data form are only RGB images. By studying the hand anatomical structure, a virtual 3D kinematic model of hand is created based on virtual simulation, and a hand posture simulation generator is built. The hand posture dataset constructed by the generator can not only effectively solve the problems of the insufficient data volume of real data, low accuracy of annotation, and large workload of manual annotation, but also solve the problems of insufficient hand posture category and single data mode of synthetic data.

First Page

862

Revised Date

2022-02-14

Last Page

870

CLC

TP391.9

Recommended Citation

Jiaxin Chen, Guohui Zhou, Jianbai Yang. Construction Technology of Hand Posture Dataset Based on Virtual Simulation Method[J]. Journal of System Simulation, 2023, 35(4): 862-870.

Corresponding Author

Guohui Zhou,zhouguohui@hrbnu.edu.cn

DOI

10.16182/j.issn1004731x.joss.21-1265

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