Del i serien Springer Series in Adaptive Environments

Human Activity Sensing

Corpus and Applications

Häftad, Engelska, 2020

AvNobuo Kawaguchi,Nobuhiko Nishio,Daniel Roggen,Sozo Inoue,Susanna Pirttikangas,Kristof Van Laerhoven

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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.

Produktinformation

Utgivningsdatum2020-09-24
Mått155 x 235 x 15 mm
Vikt406 g
FormatHäftad
SpråkEngelska
SerieSpringer Series in Adaptive Environments
Antal sidor250
FörlagSpringer Nature Switzerland AG
ISBN9783030130039

Tillhör följande kategorier

Tillämpad datateknik inom Data och IT
Systemvetenskap och AI inom Data och IT
Databaser inom Data och IT
Människa – datorinteraktion inom Data och IT

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.