前言：目的：研制人体运动图像实时分析系统。
Objective: To develop the real time analysis system of human motion.
在人体运动的分析中，提取运动信息是必须的。
It is necessary to obtain movement information in biomechanical analysis.
提出了一种基于非监督学习的人体运动分析方法。
An unsupervised learning approach for analysis of human motion is proposed.
目的研制一种低成本人体运动轨迹检测与分析系统。
Objective: to develop a low cost system to detect and analyse the locus of human movements.
给出了基于实时视频图像的人体运动监测技术的实现模块。
It explicates the realized module for the human motion inspection based on the real time video frequency image.
推进科学知识，技术能力，并在人体运动领域的临床实践。
To advance scientific knowledge, technical capabilities, and clinical practice in the field of human movement.
通过对人体运动数据加入物理约束，使人物运动符合常理。
By adding physical constraints, let the movement accord to common sense.
介绍了一种新型基于普通摄像技术的人体运动信息检测系统。
A new human motion analysis system based on common video camera is introduced in this paper.
人体整体及环节的转动惯量是研究人体运动生物力学的基本参数。
The rotational inertia of human entire body and each segment is one of the fundamental parameters in sports biomechanics research.
研究者们一直在寻找一种能客观、准确、可靠评估人体运动的方法。
Many researchers have tried to find an objective, accurate and reliable method to assess human physical activity.
合理使用自适应背景颜色模型，能够准确地对人体运动位置进行跟踪。
By using a model of adaptive background color, the kinematic position of human body can be exactly tracked.
通过能量比较法计算得到了人体运动时各关节作功最为节省能量的范围。
Human body joint movement comfortable scope could be achieved by energy comparison method.
研究提出：人体运动不仅要付出机械功，还要承受由生理机制产生的疲劳负荷。
The article proposes: body movement must give not only mechanical power, but also bear the fatigue caused from physiological mechanism.
基于计算机视觉的人体运动目标检测是计算机视觉领域中倍受关注的前沿课题。
Human motion target detection based on computer vision is a cutting edge research topic causing increasing attention in the field of computer vision research.
本文论述了人体运动信息的构成，获得途径及其在国内科学训练中的指导作用。
The compose, the obtainment way and the guiding functions of human performance for the internal scientific training are evaluated in this paper.
结论：吸入液氧能延长供氧时间，是提高高原人体运动能力和抗疲劳的理想措施。
Conclusion: it can prolong the time of oxygen supply and improve mental performance to inhaling liquid oxygen at high altitude.
近年来，人体运动的跟踪与分析在图像处理与计算机视觉领域引起许多学者的关注。
Human motion tracking and analysis has been receiving increasing attention from researchers in the fields of image processing and computer vision during the past few years.
为了实现人体运动建模，提出一种新颖的基于人体关节约束的实时逆向运动学算法。
A novel inverse kinematics algorithm based on the human constrained joints for real-time human motion modeling is proposed.
利用模型研究人体的运动原理和规律，是人体运动研究的一个重要手段和有效工具。
It is an important method and efficient tool that using a model to study the motion principles and laws of human movement.
人体运动的基元特征表示法为表示人体运动的本质属性，本文提出了基元特征的概念。
Primitive -based human motion RepresentationThe concept of primitives is proposed in this thesis to represent the essential features of human motion.
提出了利用人体区域彩色聚类和人体运动的相关知识，理解机器视觉中人体运动的方法。
An approach of using human region color clustering and human motion knowledge to understand human motion in machine vision is introduced.
在视频序列的人体运动分析中，实时提取出运动人体轮廓，是很多研究起始的关键步骤。
Segmenting the motion human body in real-time is the first key step in the field of the analysis of human motion in the video sequence.
因此，本文从人体运动模型出发，结合人体运动规律，研究了无线体域网节点运动模型。
Therefore, from the principles of human motion, this paper studies the mobility model of WBAN.
该设备在实际运行采集人体运动数据时，US B通信子系统实现了实时准确的数据传输。
The USB transfer subsystem can transfer exact data in real time while the device is running and collecting human motion data.
人体运动的检测与跟踪是人体生物力学研究的主要内容，近年来日益受到人们的广泛关注。
The detection and tracking of human motion is key to biomechanics, and attach more and more importance recent few years.
视觉作为人体从外界获取信息的主要信号源之一，在人体运动过程中起着重要的调解作用。
As the main source of body receives information from environment, vision plays an important role in the process of sports.
在智能环境研究中，人体运动分析与生物特征识别相结合目前已经成为一个流行的研究方向。
In ambient intelligence, the combination of human motion analysis and biometrics has been a prevalent research field.
在智能环境研究中，人体运动分析与生物特征识别相结合目前已经成为一个流行的研究方向。
In ambient intelligence, the combination of human motion analysis and biometrics has been a prevalent research field.
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