Human Activity Sensing

Corpus and Applications

AvNobuo Kawaguchi,Nobuhiko Nishio

Häftad, Engelska, 2020

Del i serien Springer Series in Adaptive Environments

1 105 kr

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Beskrivning

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

Utgivningsdatum:2020-09-24
Mått:155 x 235 x 15 mm
Vikt:406 g
Format:Häftad
Språk:Engelska
Serie:Springer Series in Adaptive Environments
Antal sidor:250
Förlag:Springer Nature Switzerland AG
ISBN:9783030130039

Utforska kategorier

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

Innehållsförteckning

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.