@inproceedings{314f9598718b4db8be1e21d8e9624075,
title = "Statistical analysis of window sizes and sampling rates in human activity recognition",
abstract = "Accelerometers are the most common device for data collection in the field of Human Activity Recognition (HAR). This data is recorded at a particular sampling rate and then usually separated into time windows before classification takes place. Though the sampling rate and window size can have a significant impact on the accuracy of the trained classifier, there has been relatively little research on their role in activity recognition. This paper presents a statistical analysis on the effect the sampling rate and window sizes on HAR data classification. The raw data used in the analysis was collected from a hip-worn Actigraphy G3X+ at 100Hz from 77 subjects performing 23 different activities. It was then re-sampled and divided into windows of varying sizes and trained using a single data classifier. A weighted least squares linear regression model was developed and two-way factorial ANOVA was used to analyze the effects of sampling rate and window size for different activity types and demographic categories. Based upon this analysis, we find that 10-second windows recorded at 50Hz perform statistically better than other combinations of window size and sampling rate.",
keywords = "Actigraph g3x+, Analysis of Variance, Body-worn Accelerometers, Data Mining, Human Activity Recognition, Random Forests, Sampling Rate, WEKA, Weighted Least Squares, Window Size",
author = "Niazi, {Anzah H.} and Delaram Yazdansepas and Gay, {Jennifer L.} and Maier, {Frederick W.} and Lakshmish Ramaswamy and Khaled Rasheed and Matthew Buman",
note = "Publisher Copyright: Copyright {\textcopyright} 2017 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.; 10th International Conference on Health Informatics, HEALTHINF 2017 - Part of 10th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2017 ; Conference date: 21-02-2017 Through 23-02-2017",
year = "2017",
doi = "10.5220/0006148503190325",
language = "English (US)",
series = "HEALTHINF 2017 - 10th International Conference on Health Informatics, Proceedings; Part of 10th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2017",
publisher = "SciTePress",
pages = "319--325",
editor = "{van den Broek}, {Egon L.} and Ana Fred and Hugo Gamboa and Mario Vaz",
booktitle = "HEALTHINF 2017 - 10th International Conference on Health Informatics, Proceedings; Part of 10th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2017",
}