作者： He, Fangqiuzi;Liu, Yong;Zhan, Weiwen;Xu, Qingjie;Chen, Xiaoling

期刊： Energies,2022年15(6) ISSN：1996-1073

通讯作者： Chen, XL

作者机构： [He, Fangqiuzi] Wuhan Polytech Univ, Sch Art & Design, Wuhan 430023, Peoples R China.;[He, Fangqiuzi; Liu, Yong; Zhan, Weiwen; Xu, Qingjie] China Univ Geosci, Sch Mech Engn & Elect Informat, Wuhan 430074, Peoples R China.;[Chen, Xiaoling] China Univ Geosci, Sch Art & Media, Wuhan 430074, Peoples R China.

通讯机构： [Chen, XL ] C;China Univ Geosci, Sch Art & Media, Wuhan 430074, Peoples R China.

关键词： Graph convolutional neural network;Manual operation accuracy evaluation;Virtual reality

摘要： The standard of manual operation in smart grid, which require accurate manipulation, is high, especially in experimental, practice, and training systems based on virtual reality (VR). In the VR training system, data gloves are often used to obtain the accurate dataset of hand movements. Previous works rarely considered the multi-sensor datasets, which collected from the data gloves, to complete the action evaluation of VR training systems. In this paper, a vectorized graph convolutional deep learning model is proposed to evaluate the accuracy of test actions. First, the kernel of vectorized spatio-temporal graph convolutional of the data glove is constructed with different weights for different finger joints, and the data dimensionality reduction is also achieved. Then, different evaluation strategies are proposed for different actions. Finally, a convolution deep learning network for vectorized spatio-temporal graph is built to obtain the similarity between test actions and standard ones. The evaluation results of the proposed algorithm are compared with the subjective ones labeled by experts. The experimental results verify that the proposed action evaluation method based on the vectorized spatio-temporal graph convolutional is efficient for the manual operation accuracy evaluation in VR training systems of smart grids. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

语种： 英文

作者： Lin, Nan*;Liu, Fei

期刊： Advanced Materials Research,2012年368-373:3825-3828 ISSN：1022-6680

通讯作者： Lin, Nan

作者机构： [Lin, Nan] Wuhan Polytech Univ, Sch Civil Engn & Architecture, Wuhan 430023, Peoples R China.;[Liu, Fei] Wuhan Polytech Univ, Dept Art & Design, Wuhan 430023, Peoples R China.

通讯机构： [Lin, Nan] W;Wuhan Polytech Univ, Sch Civil Engn & Architecture, Wuhan 430023, Peoples R China.

会议名称： 4th International Conference on Technology of Architecture and Structure (ICTAS 2011)

会议时间： SEP 22-24, 2011

会议地点： Xian Univ Architecture & Technol, Xian, PEOPLES R CHINA

会议主办单位： Xian Univ Architecture & Technol

会议论文集名称： Advanced Materials Research

关键词： Construction frame;Digital community;Digital wuhan;Infrastructural facilities;Urban management;Urban planning

摘要： The article from the perspective of the construction of digital city, analysed the necessity of digital wuhan construction, introduced digital wuhan's construction frame, from aspects of urban planning and infrastructural facilities, urban transport system, urban management, e-government, digital tourism, have discussed the digital application of city construction in wuhan, summarized and forecasts the prospects for development of digital wuhan in three dimensional digital map, digital community building and public services fields.

语种： 英文