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Quantifying and processing biomedica...

Esposito, Anna.

Quantifying and processing biomedical and behavioral signals

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Quantifying and processing biomedical and behavioral signalsedited by Anna Esposito ... [et al.].
其他作者:	Esposito, Anna.
出版者:	Cham :Springer International Publishing :2019.
面頁冊數:	xi, 274 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
標題:	Pattern recognition systems.
電子資源:	https://doi.org/10.1007/978-3-319-95095-2
ISBN:	9783319950952$q(electronic bk.)

Quantifying and processing biomedical and behavioral signals
Quantifying and processing biomedical and behavioral signals[electronic resource] /edited by Anna Esposito ... [et al.]. - Cham :Springer International Publishing :2019. - xi, 274 p. :ill. (some col.), digital ;24 cm. - Smart innovation, systems and technologies,v.1032190-3018 ;. - Smart innovation, systems and technologies ;v.12..

A Human-Centered Behavioral Informatics -- Wearable Devices for Self-Enhancement and Improvement of Plasticity: Effects on Neurocognitive Efficiency -- Age and Culture Effects on The Ability to Decode Affective Bursts -- N200 ERP Component in Olfactory and Haptic Crossmodal Perception -- Handwriting and Drawing Features for Detecting Negative Moods -- Oressinergic System: Network Between Sympathetic System and Exercise -- Experimental Analysis of In-Air Trajectories at Long Distances in Online Handwriting -- Kendon Model-Based Gesture Recognition Using Hidden Markov Model and Learning Vector Quantization -- A Neural Network to Identify Driving Habits and Compute Car-Sharing Users' Reputation -- Unsupervised Gene Identification in Colorectal Cancer -- Supervised Gene Identification In Colorectal Cancer -- Intelligent Quality Assessment of Geometrical Features for 3D Face Recognition -- A Novel Deep Learning Approach in Hematology for Classification of Leucocytes.

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 data processing and data flow coordination through synchronization, and optimization of new encoding features combining contextually enacted communicative signals, and develop shared digital data repositories and annotation standards for benchmarking the algorithmic feasibility and successive implementation of believable human-computer interaction (HCI) systems. This book is a valuable resource for a. the research community, PhD students, early stage researchers c. schools, hospitals, and rehabilitation and assisted-living centers e. the ICT market, and representatives from multimedia industries.

ISBN: 9783319950952$q(electronic bk.)

Standard No.: 10.1007/978-3-319-95095-2doiSubjects--Topical Terms:

183725
Pattern recognition systems.

LC Class. No.: TK7882.P3 / Q368 2019

Dewey Class. No.: 006.4

Quantifying and processing biomedical and behavioral signals
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505 0 $a A Human-Centered Behavioral Informatics -- Wearable Devices for Self-Enhancement and Improvement of Plasticity: Effects on Neurocognitive Efficiency -- Age and Culture Effects on The Ability to Decode Affective Bursts -- N200 ERP Component in Olfactory and Haptic Crossmodal Perception -- Handwriting and Drawing Features for Detecting Negative Moods -- Oressinergic System: Network Between Sympathetic System and Exercise -- Experimental Analysis of In-Air Trajectories at Long Distances in Online Handwriting -- Kendon Model-Based Gesture Recognition Using Hidden Markov Model and Learning Vector Quantization -- A Neural Network to Identify Driving Habits and Compute Car-Sharing Users' Reputation -- Unsupervised Gene Identification in Colorectal Cancer -- Supervised Gene Identification In Colorectal Cancer -- Intelligent Quality Assessment of Geometrical Features for 3D Face Recognition -- A Novel Deep Learning Approach in Hematology for Classification of Leucocytes.
520 $a 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 data processing and data flow coordination through synchronization, and optimization of new encoding features combining contextually enacted communicative signals, and develop shared digital data repositories and annotation standards for benchmarking the algorithmic feasibility and successive implementation of believable human-computer interaction (HCI) systems. This book is a valuable resource for a. the research community, PhD students, early stage researchers c. schools, hospitals, and rehabilitation and assisted-living centers e. the ICT market, and representatives from multimedia industries.
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