Human Activity Sensing
Corpus and Applications
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Beschreibung
Activity recognition has emerged as a challenging and high-impact research field, as over the past years smaller and more powerful sensors have been introduced in wide-spread consumer devices. Validation of techniques and algorithms requires large-scale human activity corpuses and improved methods to recognize activities and the contexts in which they occur.
This book deals with the challenges of designing valid and reproducible experiments, running large-scale dataset collection campaigns, designing activity and context recognition methods that are robust and adaptive, and evaluating activity recognition systems in the real world with real users.
Activity recognition has emerged as a challenging and high-impact research field, as over the past years smaller and more powerful sensors have been introduced in wide-spread consumer devices. Validation of techniques and algorithms requires large-scale human activity corpuses and improved methods to recognize activities and the contexts in which they occur.
This book deals with the challenges of designing valid and reproducible experiments, running large-scale dataset collection campaigns, designing activity and context recognition methods that are robust and adaptive, and evaluating activity recognition systems in the real world with real users.
The first collection of best practices and methodologies for activity recognition, by some of the most experienced activity recognition experts A community-based approach to assemble study results and data set collections from common human activities Latest trends and challenge definitions in the area of context and activity recognition
Autor*in
Nobuo Kawaguchi
Themen in »Human Activity Sensing«
Activity Recognition Benchmark Datasets Wearable Computing Wearable Sensing Inertial Measurement