scholarly journals Visual Information Sensing Technology. Model-based Estimation of Human Posture Parameters from Multiple Camera Images Using Genetic Algorithms.

1997 ◽  
Vol 51 (12) ◽  
pp. 2107-2115
Author(s):  
Jun Ohya ◽  
Fumio Kishino
Keyword(s):  
Genetic Algorithms ◽  
Visual Information ◽  
Multiple Camera ◽  
Human Posture ◽  
Model Based ◽  
Sensing Technology

scholarly journals Hand interception of occluded motion in humans: a test of model-based vs. on-line control

2015 ◽  
Vol 114 (3) ◽  
pp. 1577-1592 ◽  
Author(s):  
Barbara La Scaleia ◽  
Myrka Zago ◽  
Francesco Lacquaniti
Keyword(s):  
Visual Information ◽  
Target Motion ◽  
Physical Models ◽  
Model Based Control ◽  
Projectile Motion ◽  
Starting Position ◽  
Model Based ◽  
Model Free ◽  
Ball Velocity ◽  
On Line

Two control schemes have been hypothesized for the manual interception of fast visual targets. In the model-free on-line control, extrapolation of target motion is based on continuous visual information, without resorting to physical models. In the model-based control, instead, a prior model of target motion predicts the future spatiotemporal trajectory. To distinguish between the two hypotheses in the case of projectile motion, we asked participants to hit a ball that rolled down an incline at 0.2 g and then fell in air at 1 g along a parabola. By varying starting position, ball velocity and trajectory differed between trials. Motion on the incline was always visible, whereas parabolic motion was either visible or occluded. We found that participants were equally successful at hitting the falling ball in both visible and occluded conditions. Moreover, in different trials the intersection points were distributed along the parabolic trajectories of the ball, indicating that subjects were able to extrapolate an extended segment of the target trajectory. Remarkably, this trend was observed even at the very first repetition of movements. These results are consistent with the hypothesis of model-based control, but not with on-line control. Indeed, ball path and speed during the occlusion could not be extrapolated solely from the kinematic information obtained during the preceding visible phase. The only way to extrapolate ball motion correctly during the occlusion was to assume that the ball would fall under gravity and air drag when hidden from view. Such an assumption had to be derived from prior experience.

scholarly journals MSGM: A Markov Model Based Similarity Guide Matrix for Optimising Ordered Problems by Balanced-Evolution Genetic Algorithms

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 210286-210300
Author(s):  
Ryoma J. Ohira ◽  
Md. Saiful Islam ◽  
Humayun Kayesh ◽  
S. M. Riazul Islam
Keyword(s):  
Genetic Algorithms ◽  
Markov Model ◽  
Model Based

scholarly journals Genetic Algorithms for Finite Mixture Model Based Voxel Classification in Neuroimaging

2007 ◽  
Vol 26 (5) ◽  
pp. 696-711 ◽  
Author(s):  
J. Tohka ◽  
E. Krestyannikov ◽  
I.D. Dinov ◽  
A.M. Graham ◽  
D.W. Shattuck ◽  
...  
Keyword(s):  
Genetic Algorithms ◽  
Mixture Model ◽  
Finite Mixture Model ◽  
Finite Mixture ◽  
Model Based ◽  
Voxel Classification

Model-based damage identification of railway bridges using genetic algorithms

2020 ◽  
Vol 118 ◽  
pp. 104845
Author(s):  
Vinicius N. Alves ◽  
Matheus M. de Oliveira ◽  
Diogo Ribeiro ◽  
Rui Calçada ◽  
Alexandre Cury
Keyword(s):  
Genetic Algorithms ◽  
Damage Identification ◽  
Railway Bridges ◽  
Model Based

Research on Fire Power Distribution Model of Shore Support Based on PSGA

2014 ◽  
Vol 543-547 ◽  
pp. 747-750
Author(s):  
Xiang Yang Li ◽  
Wan Feng Ji ◽  
Hai Feng Xu ◽  
Chang Peng Pan
Keyword(s):  
Genetic Algorithms ◽  
Power Distribution ◽  
Distribution Model ◽  
Model Based ◽  
Improved Algorithm

As for the two main limitations as partial constringency and convergence hysteresis of Genetic Algorithms (GA), predatory search is introduced and Predatory Search Genetic Algorithms (PSGA) based on GA is designed to enhance the integrate ability of hunting. The concepts of fire support platform and target fitness are introduced, and fire power distribution model based on fire support fitness coefficient is built. The improved PSGA is applied to fire power and emulation experiment is done. The result of emulation shows the validity of the improved algorithm.

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