Titlebook: Quantifying and Processing Biomedical and Behavioral Signals; Anna Esposito,Marcos Faundez-Zanuy,Eros Pasero Book 2019 Springer Internatio

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Geyser

somnambulism

Evolution Characterization of Alzheimer’s Disease Using eLORETA’s Three-Dimensional Distribution of The electroencephalogram (EEG) has been used as a tool for diagnosing AD for several decades. In the pre-clinical stage of AD, no reliable and valid symptoms are detected to allow a very early diagnosis. There are four different stages associated with AD. The first stage is known as Mild Cognitive I

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Kendon Model-Based Gesture Recognition Using Hidden Markov Model and Learning Vector Quantizationur modules. The first module performs the feature extaction, using the skeleton representation of the body person provided by NITE library of Kinect. The second module, formed by Learning Vector Quantization, has the task of individuating the initial and the final handposes of the gesture, i.e., whe

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decipher

Adults’ Reactions to Infant Cry and Laugh: A Multilevel Studyles, 11 males). Moreover, the trait anxiety and the individual noise sensitivity were considered as controlling factors. Results showed that adults’ responses were moderated by the specific measure considered, and that responses at the different levels were only partially consistent. Theoretical and practical implications were discussed.

Mercurial

Content-Based Music Agglomeration by Sparse Modeling and Convolved Independent Component Analysisummarize the main sub-tracks of an acoustic music song (e.g., information compression and filtering) and to extract the main features from these parts (e.g., music instrumental features). Experiments are presented to validate the proposed approach on collections of real songs.

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Kendon Model-Based Gesture Recognition Using Hidden Markov Model and Learning Vector Quantizationn the gesture starts and terminates. The third unit performs the dimensionality reduction. The last module, formed by a discrete Hidden Markov, perfoms the gesture classification. The proposed recognizer compares favourably, in terms of accuracy, most of existing dynamic gesture recognizers.

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2190-3018 r interactions.Presents recent research in dynamic signal ex.The book is based on interdisciplinary research on various aspects and dynamics of human multimodal signal exchanges. It discusses realistic application scenarios where human interaction is the focus, in order to.identify new methods for d