Labeling of Activity Recognition Datasets: Detection of Misbehaving Users
- 28 May 2020
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC
Abstract
No abstract availableKeywords
This publication has 22 references indexed in Scilit:
- Using an Indoor Localization System for Activity RecognitionEAI/Springer Innovations in Communication and Computing, 2020
- Assessing Annotation Consistency in the WildPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2018
- Automatic Model Construction for Activity Recognition Using Wearable DevicesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2018
- A smart data annotation tool for multi-sensor activity recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2017
- An unsupervised approach for gait-based authenticationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2015
- The Use of Wearable Microsensors to Quantify Sport-Specific MovementsSports Medicine, 2015
- Improving the performance of fall detection systems through walk recognitionJournal of Ambient Intelligence and Humanized Computing, 2014
- One-class classification: taxonomy of study and review of techniquesThe Knowledge Engineering Review, 2014
- A smartphone-based fall detection systemPervasive and Mobile Computing, 2012
- SHIMMER™ – A Wireless Sensor Platform for Noninvasive Biomedical ResearchIEEE Sensors Journal, 2010