He developed a complicated graphical method to determine a horse's gait based on the pressure changes of its hooves as they came in contact with the ground.
为了确定马蹄在接触地面时因压力变化而产生的不同步态，他曾经开发了一套复杂的图形方法。
Based on the principles of bionics and the movement mechanism of the hexapod, the triangle gait movement principle of hexapod robot is analyzed.
基于仿生学原理，在分析六足昆虫运动机理的基础上，对六足仿生机器人的三角步态运动原理进行了分析。
Based on the principles of bionics, the tripod gait of a hexapod walking robot and the static stability is analyzed in this paper.
在仿生学原理的基础上，对六足步行机器人三角步态的行走原理和稳定性进行了分析。
Gait recognition, the second biometrics identification technology based on motion vision, is used to signify the identity of individuals in image sequences 'by the way they walk '.
步态识别，非接触式远距离的身份识别研究——基于运动视觉的第二代生物特征识别技术，是根据拍摄的行走视频，通过人体走路的方式辨别人体身份。
The multi-sensor based measure model is established in this paper and the gait phase is analyzed.
建立了基于多传感器系统的测量模型，并分析了步态相位关系。
Based on the data obtained from gait tests, the differences of ground reaction forces and the movements of lower limbs between the sound side and prosthetic side of above knee amputee were analyzed.
在对膝上假肢使用者健侧和残侧的步态进行检测的基础上，对健、残侧在步态周期内的地面反力、下肢运动和时相对称性进行了对比和分析，时相对称性差是膝上截肢者步态的主要问题。
Method: Gait initiation of normal subjects in level was observed with human motion analysis system based common CCD and 3-d force platforms.
方法：使用基于CCD和三维测力平台的人体运动分析系统，研究正常人水平地面起步过程的步态特征。
A new gait recognition method based on Midline projection is presented in this paper.
提出了一种新颖的沿中线投影得到特征的步态识别方法。
ObjectiveTo study the reliability and sensitivity of the gait analysis system based on digital video and image processing.
目的研究基于数字视频和图像处理的二维步态分析系统的可靠性、敏感性。
Based on the hip joint and knee joint Angle data, the physiological gait planning for a lower limb gait orthosis, which was used for the gait rehabilitation, was made.
基于人体下肢关节角数据，对用于步行康复训练的下肢步态矫形器做出了人体生理学步态规划。
This article describes a simple and effective gait recognition method based on a skeletal model of the body.
该文提出了一种简单有效的基于人体骨骼化模型的步态识别方法。
Proposed an adaptive network fuzzy inference system control strategy based on hierarchy structure of gait planning, which do not require detailed kinematics or dynamic biped models.
提出一种基于步态规划分级结构的自适应网络模糊推理系统控制策略，该方法不需要确定双足机器人运动学和动力学模型。
A new gait recognition method based on Fourier descriptors is presented.
提出了基于傅立叶描述子的步态识别方法。
Describes a kind of gait detection system based on tri-axial micro acceleration sensor. Then analyzes primarily the gait and balance.
本文介绍了一种基于三轴向微型加速度传感器的步态检测系统，并对步态及平衡性进行初步的分析。
To solve this problem, and also based on the fact that gait energy image(GEI) is effective for feature representation, an.
针对此问题，并基于步态能量图（GEI）在步态特征表示上的效果，提出了一种迭代切距离原型学习算法。
A novel gait recognition method based on periodic sequence width images is proposed in order to gain gait quickly and correctly.
为了快速地提取步态，提出了一种基于周期序列宽度图的步态识别方法。
Furthermore, based on the ZMP theory, the structure and gait optimization method were integrated to modify the gait locomotion.
进一步基于零力矩点理论，提出了一种综合机构修正和步态修正方法的步态规划集成优化策略。
At last, maximum entropy markov model is used to model the gait sequences of each people and implements recognition based on probability graph.
最后使用最大熵马尔可夫模型对各个人的步态进行建模，完成了基于概率图的识别。
A chart method was developed based on gait quality indices (GQIs) and radar charts for 10 normal persons and 10 patients to evaluate gait pattern characteristics.
为全面进行步态评定，基于步态质量指数和雷达图提出一种人体步态的图形评定方法，并用该方法对10名健康人和10名患者进行步态评定研究。
Methods28 healthy young persons as experimental subjects were studied. The gait analysis system based on digital video and digital image processing was employed to obtain kinematic parameters.
方法以2 8例健康青年男女为研究对象，采用基于数字视频和数字图像处理的运动分析系统测得人体步态的运动学参数。
Finally, the control system of gait motion experiment is established based on which the swing and the support motion tests for single leg is performed.
最后建立了步态运动实验控制系统，进行了摆动和支撑轨迹控制实验。
To solve the problem that the clothes variance or taking goods may affect the result of gait recognition, a new gait recognition method based on variance of dynamic region is proposed in this paper.
为了解决人的衣着变化和携带物品对步态识别的影响，提出了一种基于动态部位变化的步态识别方法。
The research of this article mainly focuses on the recognition algorithm based on gait image sequences and the fusion method to consider the vision-based information and tactility-based information.
本文工作主要集中于基于图像序列的步态识别算法研究和步态视觉信息与步态触觉信息融合算法研究。
This paper introduces a human gait recognition method based on Bayesian networks.
本文提出了一种基于贝叶斯网络的步态识别方法。
The nonlinear components of gait features are extracted based on kernel principal component analysis (KPCA).
在训练阶段，核-主元分析用来捕捉非线性的手写变化。
This paper proposed a novel approach for extraction of gait parameters from video image sequences without marker by human motion tracking based on human model.
本文将该方法用于人体运动目标的跟踪，基于监控录像中的人体运动目标跟踪实验表明，与现有方法相比，该方法具有很好的鲁棒性及稳定性。
This paper proposed a novel approach for extraction of gait parameters from video image sequences without marker by human motion tracking based on human model.
本文将该方法用于人体运动目标的跟踪，基于监控录像中的人体运动目标跟踪实验表明，与现有方法相比，该方法具有很好的鲁棒性及稳定性。
应用推荐