03800nam 2200673 450 991081378610332120200520144314.01-119-01025-X1-119-01023-31-119-01024-1(CKB)3710000000354272(EBL)1895908(SSID)ssj0001420810(PQKBManifestationID)11805034(PQKBTitleCode)TC0001420810(PQKBWorkID)11404044(PQKB)10854631(MiAaPQ)EBC1895908(DLC) 2015002169(Au-PeEL)EBL1895908(CaPaEBR)ebr11019388(CaONFJC)MIL888541(OCoLC)900565386(PPN)190567341(EXLCZ)99371000000035427220150216h20152015 uy 0engur|n|---|||||txtccrActivity learning discovering, recognizing, and predicting human behavior from sensor data /Diane J. Cook, Narayanan C. KrishnanHoboken, New Jersey :John Wiley & Sons , Inc.,2015.©20151 online resource (282 p.)Wiley Series on Parallel and Distributed ComputingDescription based upon print version of record.1-118-89376-X Includes bibliographical references and index.Machine generated contents note: 1 Introduction 2 Activities 2.1 Definitions 2.2 Classes of Activities 2.3 Additional Reading 3 Sensing 3.1 Sensors Used for Activity Learning 3.2 Sample Sensor Datasets 3.3 Features 3.4 Multisensor Fusion 3.5 Additional Reading 4 Machine Learning 4.1 Supervised Learning Framework 4.2 Naïve Bayes Classifier 4.3 Gaussian Mixture Model 4.4 Hidden Markov Model 4.5 Decision Tree 4.6 Support Vector Machine 4.7 Conditional Random Field 4.8 Combining Classifier Models 4.9 Dimensionality Reduction 4.10 Additional Reading 5 Activity Recognition 5.1 Activity Segmentation 5.2 Sliding Windows 5.3 Unsupervised Segmentation 5.4 Measuring Performance 5.5 Additional Reading 6 Activity Discovery 6.1 Zero-Shot Learning 6.2 Sequence Mining 6.3 Clustering 6.4 Topic Models 6.5 Measuring Performance 6.6 Additional Reading 7 Activity Prediction 7.1 Activity Sequence Prediction 7.2 Activity Forecasting 7.3 Probabilistic Graph-Based Activity Prediction 7.4 Rule-Based Activity Timing Prediction 7.5 Measuring Performance 7.6 Additional Reading 8 Activity Learning in the Wild 8.1 Collecting Annotated Sensor Data 8.2 Transfer Learning 8.3 Multi-Label Learning 8.4 Activity Learning for Multiple Individuals 8.5 Additional Reading 9 Applications of Activity Learning 9.1 Health 9.2 Activity-Aware Services 9.3 Security and Emergency Management 9.4 Activity Reconstruction, Expression and Visualization 9.5 Analyzing Human Dynamics 9.6 Additional Reading 10 The Future of Activity Learning Appendix: Sample Activity Data Bibliography."The book provides an in-depth look at computational approaches to activity learning from sensor data"--Provided by publisher.Wiley series on parallel and distributed computing.Active learningData processingDetectorsData processingMultisensor data fusionActive learningData processing.DetectorsData processing.Multisensor data fusion.371.3TEC008060TEC064000COM021030bisacshCook Diane J.1963-1621465Krishnan Narayanan C.MiAaPQMiAaPQMiAaPQBOOK9910813786103321Activity learning4102892UNINA