基于增强现实的三维人体热湿生理 计算机仿真模型研究与应用
人体着装后的热湿情况与人们的健康密切相关,对人体的生理指标进行检测和预测,能够避免和减少各种危险状况,如衰竭,中暑,猝死等;目前市场上的智能穿戴设备给人们提供了自我健康的监护,但又缺少对于检测指标的预测和量化处理。
本团队利用增强现实技术和计算机仿真模型,对人体新陈代谢产生热量、人体在受到压力或热湿感应时的出汗情况等生理指标进行仿真计算、分析和预测,进而获得关于人体热湿感应过程中的生理指标进行分析和量化处理。将云服务器端的仿真计算和个人移动客户端的应用APP,实时监测人体的健康数据,利用增强现实技术,建立用户体验模式下的个人自我健康预测和监护的创新性应用平台。
相关成果
[1] Nan Jia, Liang Yu, KaiXing Yang, RuoMei Wang, XiaoNan Luo, and QingZhen Xu. A Novel Exercise Thermo-physiology Comfort Prediction Model with Fuzzy Logic. Mobile Information Systems 2016.
[2] Ruomei Wang, Yu Liu, Xiaonan Luo, Yi Li, Shuai Ji: A finite-element mechanical contact model based on Mindlin-Reissner shell theory for a three-dimensional human body and garment. J. Computational Applied Mathematics 236(5): 867-877,2011.
[3] Ruomei Wang, Xiaonan Luo,Yi Li,Representation and conversionof Bezier surfaces in multivariate B-form,Journal of Computational and AppliedMathematics,2006,195:206-211。
[4] WangRuomei,DuHeng,ZhouFan,Daiguo Deng, Yu Liu. An adaptive neural fuzzy network clothing comfort evaluation model and application in digital home,Multimedia Tools andApplications,2014,71(2):395-410.
[5] Yang Fei,Zhou Fan,Wang Ruomei,Liu Li,Luo Xiaonan,A fast and efficient mesh segmentation method based on improved region growing,Applied Mathematics a Journal of Chinese Universities(Ser.A),2014,29(4):468-480。
[6] Li Liu,Ruomei Wang,Zhuo Su,Xiaonan Luo,Chengying Gao,Mesh-base d anisotropic cloth deformation for virtual fitting,Multimedia Tools andApplications,2014,71(2):411-433.