Journal of System Simulation
Abstract
Abstract: This paper aims to solve the problems in a vector integration to endpoint (VITE) model of human reaching and grasping under perturbations of object size, distance and orientation. We discuss how to reduce the numbers of disturbances of three main kinds of components: hand/wrist transport, grip aperture and hand orientation. Based on the achievements of cognitive psychology, and a tracking and cognitive model for operational 3D gestures, this paper proposes a new divide-and-conquer model that is used for indicating current grasping status and to trigger three main kinds of methods of when to start or stop working. The model is similar to a token ring network classifier. When coupled with the VITE model, the resulting model simulates the dynamic characteristic of human reaching and grasping. This provides more intelligence when building hand/wrist transport models and hand orientation control simulation modules with mutually independent visual channels. An analysis of simulation results shows that the proposed model is advantageous because of its perturbation rejection.
Recommended Citation
Zhang, Shaobai and Teng, Zhang
(2019)
"Research on Interaction Model of Hand Tracking Based on Cognitive Theory,"
Journal of System Simulation: Vol. 30:
Iss.
10, Article 11.
DOI: 10.16182/j.issn1004731x.joss.201810011
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol30/iss10/11
First Page
3681
Revised Date
2016-08-09
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201810011
Last Page
3690
CLC
TP183
Recommended Citation
Zhang Shaobai, Zhang Teng. Research on Interaction Model of Hand Tracking Based on Cognitive Theory[J]. Journal of System Simulation, 2018, 30(10): 3681-3690.
DOI
10.16182/j.issn1004731x.joss.201810011
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Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons