Mirror neuron system plays important roles in language evolution, action recognition and understanding, behavior imitation and so on.
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。
A video feature for action recognition was proposed.
提出了一种行为识别的视频特征。
Propose an action recognition algorithm based on optical-flow feature and Sequence Alignment.
提出了一套基于光流特征和序列比对的行为识别算法。
This paper Proposed an action recognition algorithm based on optical-flow feature and sequence alignment.
提出一种基于光流特征与序列比对的行为识别算法。
Primitives can reduce the scatter of the motion parameters greatly and improve the subject-independent action recognition rate and robustness.
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。
OBJECTIVE:To design a detection circuit according to the characteristics of the sEMG, which can pick-up the SEMG signals for action recognition.
目的：设计一种简单的拾取电路采集表面肌电信号，拟应用于动作肌电信号的特征识别。
This paper employs the motion representation based on space-time interest points and implements action recognition method based on spatiotemporal codebook and words.
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。
RBF neural network-based method for action recognition is presented by using the contours of image sequence as representative descriptors of human posture to achieve daily human actions recognition.
提出了一种以人的动作序列图像的轮廓为特征，基于RBF神经网络的日常行为识别方法。
A RBF neural network-based method for action recognition is presented by using the contours of image sequence as representative descriptors of human posture to achieve daily human actions recognition.
提出了一种以人的动作序列图像的轮廓为特征，基于RBF神经网络的日常行为识别方法。
A RBF neural network-based method for action recognition is presented by using the contours of image sequence as representative descriptors of human posture to achieve daily human actions recognition.
提出了一种以人的动作序列图像的轮廓为特征，基于RBF神经网络的日常行为识别方法。
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