Comparative study on classifying human activities with miniature inertial and magnetic sensors
type: Item
instance of: scholarly article
title: Comparative study on classifying human activities with miniature inertial and magnetic sensors
zbMATH Open document ID: 1213.68513
author: Kerem Altun
author: Billur Barshan
author: Orkun Tunçel
published in: Pattern Recognition
publication date: 2010-09-08T00:00:00Z
full work available at URL: http://hdl.handle.net/11693/22200
Mathematics Subject Classification ID: 68T10
zbMATH DE Number: 5781145
zbMATH Keywords: inertial sensors
zbMATH Keywords: gyroscope
zbMATH Keywords: accelerometer
zbMATH Keywords: magnetometer
zbMATH Keywords: activity recognition and classification
zbMATH Keywords: feature extraction
zbMATH Keywords: feature reduction
zbMATH Keywords: Bayesian decision making
zbMATH Keywords: rule-based algorithm
zbMATH Keywords: decision tree
zbMATH Keywords: least-squares method
zbMATH Keywords: \(k\)-nearest neighbor
zbMATH Keywords: dynamic time warping
zbMATH Keywords: support vector machines
zbMATH Keywords: artificial neural networks
Wikidata QID: Q56594424
describes a project that uses: LIBSVM
MaRDI profile type: Publication
OpenAlex ID: W2123504417
cites work: A Survey of Computer Vision-Based Human Motion Capture
cites work: Gesture spotting with body-worn inertial sensors to detect user activities
cites work: Q5483525
cites work: Q3378484
cites work: On-line signature recognition based on VQ-DTW
cites work: Estimation of dependences based on empirical data. Transl. from the Russian by Samuel Kotz
cites work: Pattern classification.
cites work: Q4001920
DOI: 10.1016/J.PATCOG.2010.04.019
description: scientific article; zbMATH DE number 5781145