Human Activity Sensing Corpus and Applications /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Kawaguchi, Nobuo (Editor, http://id.loc.gov/vocabulary/relators/edt), Nishio, Nobuhiko (Editor, http://id.loc.gov/vocabulary/relators/edt), Roggen, Daniel (Editor, http://id.loc.gov/vocabulary/relators/edt), Inoue, Sozo (Editor, http://id.loc.gov/vocabulary/relators/edt), Pirttikangas, Susanna (Editor, http://id.loc.gov/vocabulary/relators/edt), Van Laerhoven, Kristof (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Springer Series in Adaptive Environments,
• Subjects: User interfaces (Computer systems).; Data mining.; Application software.; Microprogramming .; User Interfaces and Human Computer Interaction.; Data Mining and Knowledge Discovery.; Information Systems Applications (incl. Internet).; Control Structures and Microprogramming.

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 t...

Table of Contents:

• 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.