Activity learning: discovering, recognizing, and predicting human behavior from sensor data
Gespeichert in:
| Beteiligte Personen: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Hoboken, New Jersey
Wiley
2015
|
| Schriftenreihe: | Wiley series on parallel and distributed computing
|
| Schlagwörter: | |
| Links: | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=948462 http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=948462 |
| Umfang: | 1 Online-Ressource |
| ISBN: | 1119010233 1119010241 111901025X 9781119010234 9781119010241 9781119010258 |
Internformat
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| 245 | 1 | 0 | |a Activity learning |b discovering, recognizing, and predicting human behavior from sensor data |c Diane J. Cook, Narayanan C. Krishnan |
| 264 | 1 | |a Hoboken, New Jersey |b Wiley |c 2015 | |
| 300 | |a 1 Online-Ressource | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
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| 490 | 0 | |a Wiley series on parallel and distributed computing | |
| 505 | 8 | |a "The book provides an in-depth look at computational approaches to activity learning from sensor data"-- | |
| 505 | 8 | |a Includes bibliographical references and index | |
| 505 | 8 | |a 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 | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING / Electronics / Digital |2 bisacsh | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING / Sensors |2 bisacsh | |
| 650 | 7 | |a COMPUTERS / Database Management / Data Mining |2 bisacsh | |
| 650 | 7 | |a EDUCATION / Administration / General |2 bisacsh | |
| 650 | 7 | |a EDUCATION / Organizations & Institutions |2 bisacsh | |
| 650 | 4 | |a Datenverarbeitung | |
| 650 | 4 | |a Active learning |x Data processing | |
| 650 | 4 | |a Detectors |x Data processing | |
| 650 | 4 | |a Multisensor data fusion | |
| 650 | 0 | 7 | |a Verhalten |0 (DE-588)4062860-7 |2 gnd |9 rswk-swf |
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Datensatz im Suchindex
| DE-BY-TUM_katkey | 2122347 |
|---|---|
| _version_ | 1821932207021752320 |
| any_adam_object | |
| author | Cook, Diane J. 1963- Krishnan, Narayanan C. |
| author_GND | (DE-588)133086534 |
| author_facet | Cook, Diane J. 1963- Krishnan, Narayanan C. |
| author_role | aut aut |
| author_sort | Cook, Diane J. 1963- |
| author_variant | d j c dj djc n c k nc nck |
| building | Verbundindex |
| bvnumber | BV042734461 |
| classification_rvk | ST 300 |
| classification_tum | PSY 215f |
| collection | ZDB-4-NLEBK |
| contents | "The book provides an in-depth look at computational approaches to activity learning from sensor data"-- 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 |
| ctrlnum | (OCoLC)900565386 (DE-599)BVBBV042734461 |
| dewey-full | 371.3 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 371 - Schools and their activities; special education |
| dewey-raw | 371.3 |
| dewey-search | 371.3 |
| dewey-sort | 3371.3 |
| dewey-tens | 370 - Education |
| discipline | Pädagogik Informatik Psychologie |
| format | Electronic eBook |
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| id | DE-604.BV042734461 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T17:18:31Z |
| institution | BVB |
| isbn | 1119010233 1119010241 111901025X 9781119010234 9781119010241 9781119010258 |
| language | English |
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| publishDate | 2015 |
| publishDateSearch | 2015 |
| publishDateSort | 2015 |
| publisher | Wiley |
| record_format | marc |
| series2 | Wiley series on parallel and distributed computing |
| spellingShingle | Cook, Diane J. 1963- Krishnan, Narayanan C. Activity learning discovering, recognizing, and predicting human behavior from sensor data "The book provides an in-depth look at computational approaches to activity learning from sensor data"-- 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 TECHNOLOGY & ENGINEERING / Electronics / Digital bisacsh TECHNOLOGY & ENGINEERING / Sensors bisacsh COMPUTERS / Database Management / Data Mining bisacsh EDUCATION / Administration / General bisacsh EDUCATION / Organizations & Institutions bisacsh Datenverarbeitung Active learning Data processing Detectors Data processing Multisensor data fusion Verhalten (DE-588)4062860-7 gnd Sensorsystem (DE-588)4307964-7 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Datenauswertung (DE-588)4131193-0 gnd Lernen (DE-588)4035408-8 gnd |
| subject_GND | (DE-588)4062860-7 (DE-588)4307964-7 (DE-588)4193754-5 (DE-588)4131193-0 (DE-588)4035408-8 |
| title | Activity learning discovering, recognizing, and predicting human behavior from sensor data |
| title_auth | Activity learning discovering, recognizing, and predicting human behavior from sensor data |
| title_exact_search | Activity learning discovering, recognizing, and predicting human behavior from sensor data |
| title_full | Activity learning discovering, recognizing, and predicting human behavior from sensor data Diane J. Cook, Narayanan C. Krishnan |
| title_fullStr | Activity learning discovering, recognizing, and predicting human behavior from sensor data Diane J. Cook, Narayanan C. Krishnan |
| title_full_unstemmed | Activity learning discovering, recognizing, and predicting human behavior from sensor data Diane J. Cook, Narayanan C. Krishnan |
| title_short | Activity learning |
| title_sort | activity learning discovering recognizing and predicting human behavior from sensor data |
| title_sub | discovering, recognizing, and predicting human behavior from sensor data |
| topic | TECHNOLOGY & ENGINEERING / Electronics / Digital bisacsh TECHNOLOGY & ENGINEERING / Sensors bisacsh COMPUTERS / Database Management / Data Mining bisacsh EDUCATION / Administration / General bisacsh EDUCATION / Organizations & Institutions bisacsh Datenverarbeitung Active learning Data processing Detectors Data processing Multisensor data fusion Verhalten (DE-588)4062860-7 gnd Sensorsystem (DE-588)4307964-7 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Datenauswertung (DE-588)4131193-0 gnd Lernen (DE-588)4035408-8 gnd |
| topic_facet | TECHNOLOGY & ENGINEERING / Electronics / Digital TECHNOLOGY & ENGINEERING / Sensors COMPUTERS / Database Management / Data Mining EDUCATION / Administration / General EDUCATION / Organizations & Institutions Datenverarbeitung Active learning Data processing Detectors Data processing Multisensor data fusion Verhalten Sensorsystem Maschinelles Lernen Datenauswertung Lernen |
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