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Design and implementation of somatosensory interactive game based on Leap Motion 被引量:2
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作者 Lu Ming Tan Xin Zhao Dongfeng 《Computer Aided Drafting,Design and Manufacturing》 2016年第4期37-40,共4页
Recently, virtual reality and interactive somatosensory technology has become one of the hot issues in the research of computer applications. Leap Motion is a new type of interactive somatosensory devices which bring ... Recently, virtual reality and interactive somatosensory technology has become one of the hot issues in the research of computer applications. Leap Motion is a new type of interactive somatosensory devices which bring users senses of immersion efficiently. This paper studies a interactive somatosensory game model based on Leap Motion and implemented with Unity. Based on the two core technology philosophy of Leap Motion, i.e., virtual reality technology and body sense of interactive technology, the design implementation of each sub module of the system and Leap Motion game algorithm are thoroughly addressed. This paper has certain significance for future application of Leap Motion in film, television, and interactive games. 展开更多
关键词 virtual reality technology unity3D game engine Leap Motion UI design
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Parameter estimation in exponential models by linear and nonlinear fitting methods 被引量:1
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作者 Ping YANG Chao-peng WU +8 位作者 Yi-lu GUO Hong-bo LIU Hui HUANG Hang-zhou WANG Shu-yue ZHAN Bang-yi TAO Quan-quan MU Qiang WANG Hong SONG 《Frontiers of Information Technology & Electronic Engineering》 SCIE EI CSCD 2017年第3期434-444,共11页
Estimation of unknown parameters in exponential models by linear and nonlinear fitting methods is discussed. Based on the extreme value theorem and Taylor series expansion, it is proved theoretically that the paramete... Estimation of unknown parameters in exponential models by linear and nonlinear fitting methods is discussed. Based on the extreme value theorem and Taylor series expansion, it is proved theoretically that the parameters estimated by the linear fitting method alone cannot minimize the sum of the squared residual errors in the measurement data when measurement noise is involved in the data. Numerical simulation is performed to compare the performance of the linear and nonlinear fitting methods. Simulation results show that the linear method can obtain only a suboptimal estimate of the unknown parameters and that the nonlinear method gives more accurate results. Application of the fitting methods is demonstrated where the water spectral attenuation coefficient is estimated from underwater images and imaging distances, which supports the improvement in the accuracy of parameter estimation by the nonlinear fitting method. 展开更多
关键词 Exponential model Parameter estimation Linear least squares Nonlinear fitting
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