human actions
Control System of Collaborative Robotic Based on the Methods of Contactless Recognition of Human Actions
... Abstract. Human-robot collaboration is a key concept in modern intelligent ...Traditional human-robot interfaces are quite difficult to control and require additional operator ...of human and robot ...
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Efficient Search and Localization of Human Actions in Video Databases
... Our goal is to perform action retrieval with spatio-temporal localization. Trained recognition and localization models for human actions are relatively common in recent years, such as Yuan et al. [23], who ...
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Learning human actions by combining global dynamics and local appearance
... It is known that appearance and dynamics are two important cues for human action recognition. However, the capture of both global temporal dynamics and local visual appearance features of action sequences has ...
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Recognizing Human Actions Using NWFE-Based Histogram Vectors
... This study presents a novel system for human action recognition. Two research issues, namely, motion representation and subspace learning, are addressed. In order to have a rich motion descriptor, we propose to ...
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From Line Drawings to Human Actions: Deep Neural Networks for Visual Data Representation
... the human action recognition problem to explore the rep- resentation learning method of sequential ...data. Human action recognition is one of the fundamental problems in computer ...of human ...
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Movement Human Actions Recognition Based on Machine Learning
... recognize actions. After training and testing on public human ac- tions database, the experiment result showed that the method could effectively distinguish human actions and significantly ...
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Modelling human actions on lightweight structures : experimental and numerical developments
... harmonic, and N is the total number of harmonics considered. Frequencies for the walking activity range from 1.4Hz to 2.5Hz, while for jumping and bobbing these are 1.5-3.5Hz and 1.5-4.5Hz, respectively. Given that the ...
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Zero-Shot Learning of Language Models for Describing Human Actions Based on Semantic Compositionality of Actions
... We propose a novel framework for zero-shot learning of topic-dependent language models, which enables the learning of language mod- els corresponding to specific topics for which no language data is available. To realize ...
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A Methodology Based on HMRF Model for Human Actions Tracking and Labeling
... A continuous video consists of two inter-related components: 1) tracks of the persons in the video and 2) localization and labels of the activities of interest performed by these actors. Activity analysis of continuous ...
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Robust Recognition and Segmentation of Human Actions Using HMMs with Missing Observations
... The major weakness of the proposed segmentation method is the assumption that the activity type is known in advance, with the only challenge being to segment the actions out of the given activity. In practice, the ...
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Novel Kernel-Based Recognizers of Human Actions
... authors detect abnormal activities by means of the multi- observation Hidden Markov Model and spectral clustering to unsupervised training of behavior models. Boiman and Irani [29] explain a video sequence using patches ...
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Silhouette Based Human Motion Detection and Recognising their Actions from the Captured Video Streams
... Algorithms for tracking and identification of human actions from the camera feed are proposed. The proposed work involves identifying the actions by extracting the features from the obtained binary ...
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Reconciliation of libertarian free will with the contemporary neuroscientific advocacy for determinism in human action
... whether human actions are determined or not has been a perennial philosophical concern from ancient Greek philosophy to ...that human beings do not have free ...that human actions can ...
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Identifying Human Behavious Using Deep Trajectory Descriptors
... of human actions play the importance role and is an active topic in computer vision and pattern recognition research [1], [2], ...of human action is to identify and recognize actions and ...
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Crowdsourcing Social Media For Robot Learning: A Review
... basic human actions that are performed physically and are then upload that video on the Twitter ...performed actions. Parameters of those recorded actions are used as input into a MC-SVM ...
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Actions and Agents
... A reactive system is a system that does not use a symbolic model of the world nor symbolic reasoning to decide what to do next. Reactive architectures are modeled as black boxes: they follow if-then rules that map ...
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Online Full Text
... the human agent by interacting with the participant entering the experimental room (see Figure 2 ...the human agents are permitted to behave freely within experimental area; however, damage to robots and ...
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Agency and actions
... are events in the present paper, I would suggest that its innocence may be manifest when it is freed from everything with which it has so often and so readily been wrongly associated. Much of the opposition to the idea ...
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Actions and activity
... He once wrote: ‘Our language encourages us in the thought that there are such things [as events], by supplying .. the full apparatus of definite and indefinite articles, sortal predicates, counting, quantification, and ...
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Expressive Actions
... Many actions are habitual and spontaneous but nevertheless reason-guided: many actions are intentional, or exhibit what Searle calls intention in action, without being preceded by any prior formation of an ...
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