Human Activity Sensing -

Human Activity Sensing

Corpus and Applications
Buch | Softcover
XII, 250 Seiten
2020 | 1st ed. 2019
Springer International Publishing (Verlag)
978-3-030-13003-9 (ISBN)
160,49 inkl. MwSt

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.


Optimizing of the Number and Placements of Wearable IMUs for Automatic Rehabilitation Recording.- Identifying Sensors via Statistical Analysis of Body-Worn Inertial Sensor Data.- Compensation Scheme for PDR using Component-wise Error Models.- Towards the Design and Evaluation of Robust Audio-Sensing Systems.- A Wi-Fi Positioning Method Considering Radio Attenuation of Human Body.- Drinking gesture recognition from poorly annotated data: a case study.- Understanding how Non-experts Collect and Annotate Activity Data.- MEASURed: Evaluating Sensor-based Activity Recognition Scenarios by Simulating Accelerometer Measures from Motion Capture.- Benchmark performance for the Sussex-Huawei locomotion and transportation recognition challenge 2018.- Effects of Activity Recognition Window Size and Time Stabilization in the SHL Recognition Challenge.

Erscheinungsdatum
Reihe/Serie Springer Series in Adaptive Environments
Zusatzinfo XII, 250 p. 140 illus., 98 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 409 g
Themenwelt Mathematik / Informatik Informatik Betriebssysteme / Server
Informatik Datenbanken Data Warehouse / Data Mining
Informatik Software Entwicklung User Interfaces (HCI)
Schlagworte activity recognition • Benchmark Datasets • Inertial Measurement • wearable computing • Wearable Sensing
ISBN-10 3-030-13003-7 / 3030130037
ISBN-13 978-3-030-13003-9 / 9783030130039
Zustand Neuware
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