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A public domain dataset for human activity recognition using smartphones

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Cita com:
hdl:2117/20897

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Anguita, Davide
Ghio, Alessandro
Oneto, Luca
Parra Perez, Xavier
Reyes Ortiz, Jorge Luis
Document typeConference report
Defense date2013
Rights accessRestricted access - publisher's policy
Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain
Abstract
Human-centered computing is an emerging research field that aims to understand human behavior and integrate users and their social context with computer systems. One of the most recent, challenging and appealing applications in this framework consists in sensing human body motion using smartphones to gather context information about people actions. In this context, we describe in this work an Activity Recognition database, built from the recordings of 30 subjects doing Activities of Daily Living (ADL) while carrying a waist-mounted smartphone with embedded inertial sensors, which is released to public domain on a well-known on-line repository. Results, obtained on the dataset by exploiting a multiclass Support Vector Machine (SVM), are also acknowledged.
CitationAnguita, D. [et al.]. A public domain dataset for human activity recognition using smartphones. A: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. "Proceedings of the 21th International European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning". Bruges: 2013, p. 437-442. 
URIhttp://hdl.handle.net/2117/20897
ISBN978-2-87419-081-0
Publisher versionhttp://www.i6doc.com/en/livre/?GCOI=28001100131010
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