Estimation of Body Size by Combining Genetic Algorithm with Human Body Model

Abstract

Abstract-Estimation of body size using related dataset is one of the challenging tasks in modeling and simulation area. It has a wide range of utilization in many aspects in society including body modeling, designing clothes etc. It is necessary to extract feature data in body size measurement. Except ordinary data such as the body height, weight and chest size, the body surface area and volume were made up B-Spline surface shape model by linear combined with these data in this paper. Several control points were selected after using Genetic Algorithm (GA) to select best points in theses dataset, and mathematical model of estimating human body size was created. Experimental results indicated that this model has advantages of high efficiency and low error rates in estimating human body size.Keywords-genetic algorithm: GA; surface area; the control points of b-spline surface

Diving Body Shape Coefficient Setting Based on Moment of Inertia Analysis

“…In this paper, the human body is divided into six parts: the trunk, the head and the limbs to establish the model [14,15] , and each part is simplified into a rectangular shape, as shown in Fig. 1.…”

“…According to the centroid coordinate formula (3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16), the centroid coordinate of the twisting action is calculated as Y T =0, so the centroid coordinate is: (0,0,0).…”

“…Substituting the value of J into the formulas (3-10), (3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15), and (3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19), the relationship between the time when the athlete completes each diving action and the height h and the weight M of the athlete is obtained as shown in the formula (3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22).…”

“…From the relationship between the athlete's completion time of each diving action and the athlete's height h and weight M, that is, formula (3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22), the athlete's body shape has a direct impact on the completion time of the action. Therefore, the athlete's body shape and the action difficulty coefficient are directly related.…”

“…According to formula (3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22), the time taken by the athlete to complete the diving action is directly proportional to the body shape correction index Mh 2 . The smaller the Mh 2 is, the shorter the time for completing a certain action is, and the easier it is to get a high action score.…”