证明了精确起始时刻对于动作识别的重要性。
The importance for actions recognition of the exact start time of sampling is proved then.
针对飞行动作识别提出解决这一现象的模糊支持向量机。
Flight action recognition is proposed in this paper based on the fuzzy support vector Machines (FSVMs).
在动作识别和会议建档系统场景中的示例实验中都得到了正确的结果。
Correct results were obtained in tests of action recognition and spot archive scenarios.
然后采用功率谱K值法进行单自由度动作识别，得到了较好的识别效果。
Then recognize action pattern by the method of power spectrum K value, and the recognize effect is good.
镜像神经系统在语言进化、动作识别与理解、行为模仿等方面都起着重要的作用。
Mirror neuron system plays important roles in language evolution, action recognition and understanding, behavior imitation and so on.
去年，微软就收购3dvsystems，该公司同样从事动作识别技术开发工作。
Last year, Microsoft acquired 3dv systems, a company with similar gesture recognition technology.
为此，提出了基于时空兴趣点局部时空特征的运动表示方法，实现了基于时空单词的动作识别。
This paper employs the motion representation based on space-time interest points and implements action recognition method based on spatiotemporal codebook and words.
利用Canesta的技术，微软和其伙伴可以让电脑，电视，汽车，电话以及其他设备都具有动作识别的功能。
Using Canesta's technology, Microsoft and its partners could equip PCs, televisions, cars, cellphones and other devices with gesture recognition features.
周五，美国微软公司宣布将要收购Canesta公司，这是一家位于硅谷，专注于动作识别技术的小公司。
Microsoft said on Friday that it was buying Canesta, a small Silicon Valley company that specializes in gesture-recognition technology.
在非特定人自然的人体动作识别中，基元特征能够大大降低参数的离散度，提高系统抗噪声能力、鲁棒性和识别率。
Primitives can reduce the scatter of the motion parameters greatly and improve the subject-independent action recognition rate and robustness.
该方法的优点是飞行动作识别的物理含义明确，知识库维护方便、扩展性好，飞行动作识别的准确率高，便于处理大批量的日常飞行数据。
This method has such advantages as explicit physical meaning, convenience of maintenance and expandability, high recognition precision and capability of processing large amount of routine flight data.
业务事件处理(BEP)引擎管理事件的逻辑处理，目的是为了根据已定义的规则识别模式和调用动作。
Business event processing (BEP) engines manage the logical processing of events in order to recognize patterns and invoke actions based on defined rules.
突出部分和问题：为了识别、分析和跟踪动作条目和问题。
Highlights and issues: To identify, analyze, and track action items and issues.
识别了业务事件后，就需要采取适当的动作。
Once business events have been identified, appropriate actions need to be taken.
只要基于一组定义好了的规则识别到一个模式，就可采取一个“动作”，而这个动作是另一个系统上的某些处理的调用结果。
Once a pattern, based on a defined set of rules, is recognized, an "action" is taken, where the action is an invocation of some processing on another system.
TDT自动识别变量和任务并建立匹配的动作。
The TDT automatically recognizes changes in variables and assignments and creates test actions to match.
例如，对电视来说，就需要识别坐在沙发上的人，识别作为命令的手势，防止把观众挠鼻子的小动作误认为手势命令。
Such a task meant giving a TV, for example, a way to identify people sitting on a couch and to recognize a certain hand wave as a command and not a scratching of the nose.
一台与面部表情识别软件相连的摄影机给机器人反馈信号：当机器人做出一个类似于“现实的”表情时，摄影机就会收到动作信号。
A video camera connected to facial recognition software gave the robot feedback: When it made a movement that resembled a "real" expression, it received a reward signal.
通过这种方式，Kinect能够识别身体轮廓和动作。
匹配键是用来识别设备的条件，当规则中所有对应设备的匹配键都被匹配以后，规则会被执行，并且触发动作。
Match keys are conditions used to identify the device which the rule is acting upon.
CGI脚本会识别自身，执行被请求的动作，并展现出相当简单的界面；它所需要的只是一些按钮和一个文本区域。
The CGI script identifies itself, takes any requested actions, then presents a fairly simple interface; all it needs is a couple of buttons and a text area.
不同于虹膜识别或指纹识别，即使是动作最有规律的个人，其键入模式中也有微妙的差异。
Unlike Iris scans or fingerprints, even the most highly repetitive individuals make subtle variations in their typing patterns.
该设备能准确识别玩家的身体动作，并对他们的动作，乃至语音命令作出反应。
It is able to accurately map a player's body and respond to their movements and even their voice commands.
通过使用ESB将事件数据转换为特定于应用程序的数据，在BusinessEvents中识别的动作可以对运行在ProcessServer上的应用程序实现任意程度的处理。
With ESB transforming event data into application-specific data, actions identified in Business Events can drive any amount of processing in applications running on process Server.
最终，从理论上来讲，Tom将把动作和观念联系起来，他不仅只会识别动作，还会在自己困的时候做出这个动作。
Eventually, in theory, Tom will connect the ideas and not only recognise the sign but make it himself if he feels sleepy.
考虑添加其他手势识别，例如通过从synclient输出中进一步提取特征来识别按压旋转动作。
Consider adding additional gesture recognition, such as pinch rotate through further feature extraction from the synclient output.
而肌肉-计算机界面(muscle - computer interface)则使通过佩戴于前臂上端的一圈传感器收集肌肉信号，再通过肌电信号识别器解读手势动作，从而能够识别手掌和手指点击在皮肤上的信号。
The muscle-computer interface enables hand and finger input by means of gestures learned from an electromyographic recognizer collecting muscle signals from a band of sensors on the upper forearm.
而肌肉-计算机界面(muscle - computer interface)则使通过佩戴于前臂上端的一圈传感器收集肌肉信号，再通过肌电信号识别器解读手势动作，从而能够识别手掌和手指点击在皮肤上的信号。
The muscle-computer interface enables hand and finger input by means of gestures learned from an electromyographic recognizer collecting muscle signals from a band of sensors on the upper forearm.
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