ABE-IPSABE HOLDINGABE BOOKS
English Polski
Dostęp on-line

Książki

0.00 PLN
Schowek (0) 
Schowek jest pusty
Wearable Computing: From Modeling to Implementation of Wearable Systems based on Body Sensor Networks

Wearable Computing: From Modeling to Implementation of Wearable Systems based on Body Sensor Networks

Autorzy
Wydawnictwo Wiley & Sons
Data wydania
Liczba stron 256
Forma publikacji książka w twardej oprawie
Język angielski
ISBN 9781118864579
Kategorie
Zapytaj o ten produkt
E-mail
Pytanie
 
Do schowka

Opis książki

This book provides the most up-to-date research and development on wearable computing, wireless body sensor networks, wearable systems integrated with mobile computing, wireless networking and cloud computingThis book has a specific focus on advanced methods for programming Body Sensor Networks (BSNs) based on the reference SPINE project. It features an on-line website (http://spine.deis.unical.it) to support readers in developing their own BSN application/systems and covers new emerging topics on BSNs such as collaborative BSNs, BSN design methods, autonomic BSNs, integration of BSNs and pervasive environments, and integration of BSNs with cloud computing. The book provides a description of real BSN prototypes with the possibility to see on-line demos and download the software to test them on specific sensor platforms and includes case studies for more practical applications.* Provides a future roadmap by learning advanced technology and open research issues* Gathers the background knowledge to tackle key problems, for which solutions will enhance the evolution of next-generation wearable systems* References the SPINE web site (http://spine.deis.unical.it) that accompanies the text* Includes SPINE case studies and span topics like human activity recognition, rehabilitation of elbow/knee, handshake detection, emotion recognition systemsWearable Systems and Body Sensor Networks: from modeling to implementation is a great reference for systems architects, practitioners, and product developers.Giancarlo Fortino is currently an Associate Professor of Computer Engineering (since 2006) at the Department of Electronics, Informatics and Systems (DEIS) of the University of Calabria (Unical), Rende (CS), Italy. He was recently nominated Guest Professor in Computer Engineering of Wuhan University of Technology on April, 18 2012 (the term of appointment is three years). His research interests include distributed computing and networks, wireless sensor networks, wireless body sensor networks, agent systems, agent oriented software engineering, streaming content distribution networks, distributed multimedia systems, GRID computing.Raffaele Gravina received the B.Sc. and M.S. degrees both in computer engineering from the University of Calabria, Rende, Italy, in 2004 and 2007, respectively. Here he also received the Ph.D. degree in computer engineering. He's now a Postdoctoral research fellow at University of Calabria. His research interests are focused on high-level programming methods for WSNs, specifically Wireless Body Sensor Networks. He wrote almost 30 scientific/technical articles in the area of the proposed Book. He is co-founder of SenSysCal S.r.l., a spin-off company of the University of Calabria, and CTO of the wearable computing area of the company.Stefano Galzarano received the B.S. and M.S. degrees both in computer engineering from the University of Calabria, Rende, Italy, in 2006 and 2009, respectively. He is currently pursuing a joint Ph.D. degree in computer engineering with University of Calabria and Technical University of Eindhoven (The Netherlands). His research interests are focused on high-level programming methods for wireless sensor networks and, specifically, novel methods and frameworks for autonomic wireless body sensor networks.

Wearable Computing: From Modeling to Implementation of Wearable Systems based on Body Sensor Networks

Spis treści

Preface xiAcknowledgments xvi1 Body Sensor Networks 11.1 Introduction 11.2 Background 11.3 Typical m-Health System Architecture 41.4 Hardware Architecture of a Sensor Node 61.5 Communication Medium 71.6 Power Consumption Considerations 71.7 Communication Standards 81.8 Network Topologies 101.9 Commercial Sensor Node Platforms 131.10 Biophysiological Signals and Sensors 161.11 BSN Application Domains 171.12 Summary 20References 202 BSN Programming Frameworks 252.1 Introduction 252.2 Developing BSN Applications 252.2.1 Application- and Platform-Specific Programming 262.2.2 Automatic Code Generation 282.2.3 Middleware-Based Programming 282.2.4 Programming Approaches Comparison 302.3 Programming Abstractions 312.4 Requirements for BSN Frameworks 342.5 BSN Programming Frameworks 372.5.1 Titan 382.5.2 CodeBlue 382.5.3 RehabSPOT 382.5.4 SPINE 392.5.5 SPINE2 392.5.6 C-SPINE 392.5.7 MAPS 402.5.8 DexterNet 402.6 Summary 40References 413 Signal Processing In-Node Environment 453.1 Introduction 453.2 Background 463.3 Motivations and Challenges 463.4 The SPINE Framework 463.4.1 Architecture 473.4.2 Programming Perspective 513.4.3 Optional SPINE Modules 513.4.4 High-Level Data Processing 523.4.5 Multiplatform Support 553.5 Summary 56References 574 Task-Oriented Programming in BSNs 594.1 Introduction 594.2 Background 604.3 Motivations and Challenges 604.3.1 Need for a Platform-Independent Middleware 604.3.2 Challenges in Designing a Task-Oriented Framework 614.4 SPINE2 Overview 624.5 Task-Oriented Programming in SPINE2 634.6 SPINE2 Node-Side Middleware 664.7 SPINE2 Coordinator 684.8 SPINE2 Communication Protocol 684.9 Developing Application in SPINE2 704.10 Summary 71References 725 Autonomic Body Sensor Networks 735.1 Introduction 735.2 Background 735.3 Motivations and Challenges 745.4 State-of-the-Art 755.5 SPINE-*: Task-Based Autonomic Architecture 765.6 Autonomic Physical Activity Recognition 815.7 Summary 84References 856 Agent-Oriented Body Sensor Networks 896.1 Introduction 896.2 Background 896.2.1 Agent-Oriented Computing and Wireless Sensor Networks 896.2.2 Mobile Agent Platform for Sun SPOT (MAPS) 916.3 Motivations and Challenges 946.4 State-of-the-Art: Description and Comparison 956.5 Agent-Based Modeling and Implementation of BSNs 986.6 Engineering Agent-Based BSN Applications: A Case Study 986.7 Summary 101References 1037 Collaborative Body Sensor Networks 1077.1 Introduction 1077.2 Background 1087.3 Motivations and Challenges 1097.4 State-of-the-Art 1107.5 A Reference Architecture for Collaborative BSNs 1117.6 C-SPINE: A CBSN Architecture 1147.6.1 Inter-BSN Communication 1167.6.2 BSN Proximity Detection 1177.6.3 BSN Service Discovery 1187.6.4 BSN Service Selection and Activation 1187.7 Summary 119References 1198 Integration of Body Sensor Networks and Building Networks 1218.1 Introduction 1218.2 Background 1218.2.1 Building Sensor Networks and Systems 1218.2.2 Building Management Framework 1248.3 Motivations and Challenges 1258.4 Integration Layers 1278.5 State-of-the-Art: Description and Comparison 1298.6 An Agent-Oriented Integration Gateway 1308.7 Application Scenarios 1338.7.1 In-Building Physical Activity Monitoring 1338.8 Summary 135References 1359 Integration of Wearable and Cloud Computing 1399.1 Introduction 1399.2 Background 1409.2.1 Cloud Computing 1409.2.2 Architectures for Sensor Stream Management 1409.3 Motivations and Challenges 1429.3.1 BSN Challenges 1439.3.2 BSN/Cloud Computing Integration Challenges 1449.4 Reference Architecture for Cloud-Assisted BSNs 1459.4.1 Sensor Data Collection 1459.4.2 Sensor Data Management 1479.4.3 Scalable Processing Framework 1479.4.4 Persistent Storage 1489.4.5 Decision-Making Process 1499.4.6 Open Standards and Advanced Visualization 1499.4.7 Security 1509.5 State-of-the-Art: Description and Comparison 1519.5.1 Integration of WSNs and Cloud Computing 1519.5.2 Integration of BSNs and Cloud Computing 1529.5.3 A Comparison 1539.6 BodyCloud: A Cloud-based Platform for Community BSN Applications 1569.7 Engineering BodyCloud Applications 1599.7.1 ECGaaS: Cardiac Monitoring 1609.7.2 FEARaaS: Basic Fear Detection 1629.7.3 REHABaaS: Remote Rehabilitation 1659.7.4 ACTIVITYaaS: Community Activity Monitoring 1669.8 Summary 171References 17110 Development Methodology for BSN Systems 17710.1 Introduction 17710.2 Background 17710.3 Motivations and Challenges 18010.4 SPINE-Based Design Methodology 18010.4.1 A Pattern-Driven Application-Level Design 18110.4.2 System Parameters 18310.4.3 Process Schema 18410.5 Summary 186References 18611 SPINE-Based Body Sensor Network Applications 18711.1 Introduction 18711.2 Background 18711.3 Physical Activity Recognition 18711.3.1 Related Work 18811.3.2 A SPINE-Based Activity Recognition System 18911.4 Step Counter 19111.4.1 Related Work 19111.4.2 A SPINE-Based Step Counter 19211.5 Emotion Recognition 19411.5.1 Stress Detection 19411.5.1.1 Related Work 19411.5.1.2 SPINE-HRV: A Wearable System for Real-Time Stress Detection 19511.5.2 Fear Detection 19711.5.2.1 Related Work 19711.5.2.2 A SPINE-Based Startle Reflex Detection System 19811.6 Handshake Detection 20011.6.1 Related Work 20111.6.2 A SPINE-Based Handshake Detection System 20211.7 Physical Rehabilitation 20511.7.1 Related Work 20511.7.2 SPINE Motor Rehabilitation Assistant 20611.8 Summary 208References 20812 SPINE at Work 21312.1 Introduction 21312.2 SPINE 1.x 21312.2.1 How to Install SPINE 1.x 21612.2.2 How to Use SPINE 21712.2.3 How to Run a Simple Desktop Application Using SPINE1.3 22012.2.4 SPINE Logging Capabilities 22512.3 SPINE2 22512.3.1 How to Install SPINE2 22812.3.2 How to Use the SPINE2 API 23012.3.3 How to Run a Simple Application Using SPINE2 232Index 239

Polecamy również książki

Strony www Białystok Warszawa
801 777 223