基于少量慣性傳感器的姿態(tài)重建與仿真
發(fā)布時間:2018-05-24 16:00
本文選題:運(yùn)動捕捉 + 姿態(tài)重建 ; 參考:《系統(tǒng)仿真學(xué)報》2017年10期
【摘要】:提出了一種基于少量慣性傳感器的姿態(tài)重建方法,將輸入的低維角加速度信息作為控制信號,以高維歐拉角運(yùn)動數(shù)據(jù)庫為基礎(chǔ),重建出高維的人體全身姿態(tài)序列。通過建立數(shù)字相似性-幾何相似性-時間持續(xù)性模型,對加速度進(jìn)行重構(gòu),保證候選重建姿態(tài)的在數(shù)字-邏輯上相似性的統(tǒng)一。通過引入最優(yōu)化能量函數(shù),求解最優(yōu)重建姿態(tài)序列。通過分析和對比實驗,表明方法能夠重建出真實可信的人體姿態(tài)序列。本研究使用少量慣性傳感器控制,能產(chǎn)生持續(xù)的全身關(guān)節(jié)的姿態(tài)序列,通過減少傳感器數(shù)量,達(dá)到降低系統(tǒng)成本的目的。
[Abstract]:An attitude reconstruction method based on a small number of inertial sensors is proposed. The input low-dimensional angular acceleration information is taken as the control signal, and the high-dimensional human body pose sequence is reconstructed based on the high-dimensional Euler angle motion database. By establishing the model of digital similarity, geometric similarity and time persistence, the acceleration is reconstructed to ensure the unity of digital-logic similarity of candidate reconstruction posture. The optimal reconstruction attitude sequence is solved by introducing the optimal energy function. Through analysis and contrast experiments, it is shown that the method can reconstruct the true and credible human pose sequence. In this study, a small number of inertial sensors are used to control the attitude sequence of the whole body joint, which can reduce the cost of the system by reducing the number of sensors.
【作者單位】: 北京理工大學(xué)軟件學(xué)院;空軍裝備部107辦公室;中國航空工業(yè)集團(tuán)成都飛機(jī)設(shè)計研究所;航天系統(tǒng)仿真重點(diǎn)實驗室;中國航天科工集團(tuán)公司;
【基金】:國家自然科學(xué)基金(61202243)
【分類號】:TP212.9
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本文編號:1929687
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