{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T14:10:59Z","timestamp":1753884659917,"version":"3.41.2"},"reference-count":25,"publisher":"World Scientific Pub Co Pte Ltd","issue":"04","funder":[{"name":"2020 Higher Education Teaching Reform Project in Guangdong Province","award":["PX-2201779"],"award-info":[{"award-number":["PX-2201779"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J CIRCUIT SYST COMP"],"published-print":{"date-parts":[[2023,3,15]]},"abstract":"<jats:p> Quantitative training virtualization can be applied in the fields of human\u2013computer interaction, virtual reality and motion analysis, and has attracted much attention. Based on the virtual reality theory, this paper constructs a training quantitative evaluation method, evaluates the trainer\u2019s ergonomics, and finally compares the evaluation method with the simulation results. According to the collected training data, this paper uses the methods of model reuse and feature parameter adjustment in the Jack software to quickly generate a 3D training model with the required percentages, and performs data reorganization and analysis on the captured training data, which solves the problem of training quantitative evaluation and the problem of uncertainty of results. During the simulation process, according to its reorganized data, a large number of comparative experiments and evaluations were performed on the performance of the model proposed in this paper on multiple indicators of multiple public data sets. The experimental results show that the cycle is reduced by 10 times, the mini-batch is 32, and the sequence length is 16. In this way, the spatial characteristics of the channel coupling relationship can be better analyzed, and the effect of spatial cognitive training can be effectively evaluated. The training pose and shape estimation model and the corresponding data set and multiple indicators have reached the performance of the existing state-of-the-art models. The integrated model of accurate training pose and shape sequence in the camera coordinate system can be reconstructed, which effectively enhances the effectiveness of the virtual scene parameter adjustment strategy. <\/jats:p>","DOI":"10.1142\/s0218126623500706","type":"journal-article","created":{"date-parts":[[2022,9,10]],"date-time":"2022-09-10T05:14:01Z","timestamp":1662786841000},"source":"Crossref","is-referenced-by-count":1,"title":["A Novel Training Quantitative Evaluation Method Based on Virtual Reality"],"prefix":"10.1142","volume":"32","author":[{"given":"Baotong","family":"Jia","sequence":"first","affiliation":[{"name":"College of Physical Education, Huizhou University, Huizhou 516007, Guangdong, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8518-2197","authenticated-orcid":false,"given":"Xiaoli","family":"Wu","sequence":"additional","affiliation":[{"name":"College of Physical Education, Guangdong Baiyun University, Guangzhou 510545, Guangdong, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunmei","family":"Zhao","sequence":"additional","affiliation":[{"name":"College of Graduate, Guangzhou Sports University, Guangzhou 510500, Guangdong, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2022,11,19]]},"reference":[{"key":"S0218126623500706BIB001","doi-asserted-by":"crossref","first-page":"30651","DOI":"10.1007\/s11042-018-6216-x","volume":"77","author":"Ho N.","year":"2018","journal-title":"Multim. 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