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Consistency of Outputs of the Selected Motion Acquisition Methods for Human Activity Recognition
The aim of this paper is to choose the optimal motion sensor for the selected human activity recognition. In the described studies, different human motion measurement methods are used simultaneously such as optoelectronics, video, electromyographic, accelerometric, and pressure sensors. Several anal...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Hindawi
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6642760/ https://www.ncbi.nlm.nih.gov/pubmed/31360389 http://dx.doi.org/10.1155/2019/9873430 |
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author | Smoleń, Magdalena |
author_facet | Smoleń, Magdalena |
author_sort | Smoleń, Magdalena |
collection | PubMed |
description | The aim of this paper is to choose the optimal motion sensor for the selected human activity recognition. In the described studies, different human motion measurement methods are used simultaneously such as optoelectronics, video, electromyographic, accelerometric, and pressure sensors. Several analyses of activity recognition were performed: recognition correctness for all activities together, matrices of the recognition errors of the individual activities for all volunteers for the individual sensors, and recognition correctness of all activities for each volunteer and each sensor. The experiments enabled to find a range of interchangeability and to choose the most appropriate sensor for recognition of the selected motion. |
format | Online Article Text |
id | pubmed-6642760 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-66427602019-07-29 Consistency of Outputs of the Selected Motion Acquisition Methods for Human Activity Recognition Smoleń, Magdalena J Healthc Eng Research Article The aim of this paper is to choose the optimal motion sensor for the selected human activity recognition. In the described studies, different human motion measurement methods are used simultaneously such as optoelectronics, video, electromyographic, accelerometric, and pressure sensors. Several analyses of activity recognition were performed: recognition correctness for all activities together, matrices of the recognition errors of the individual activities for all volunteers for the individual sensors, and recognition correctness of all activities for each volunteer and each sensor. The experiments enabled to find a range of interchangeability and to choose the most appropriate sensor for recognition of the selected motion. Hindawi 2019-07-07 /pmc/articles/PMC6642760/ /pubmed/31360389 http://dx.doi.org/10.1155/2019/9873430 Text en Copyright © 2019 Magdalena Smoleń. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Smoleń, Magdalena Consistency of Outputs of the Selected Motion Acquisition Methods for Human Activity Recognition |
title | Consistency of Outputs of the Selected Motion Acquisition Methods for Human Activity Recognition |
title_full | Consistency of Outputs of the Selected Motion Acquisition Methods for Human Activity Recognition |
title_fullStr | Consistency of Outputs of the Selected Motion Acquisition Methods for Human Activity Recognition |
title_full_unstemmed | Consistency of Outputs of the Selected Motion Acquisition Methods for Human Activity Recognition |
title_short | Consistency of Outputs of the Selected Motion Acquisition Methods for Human Activity Recognition |
title_sort | consistency of outputs of the selected motion acquisition methods for human activity recognition |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6642760/ https://www.ncbi.nlm.nih.gov/pubmed/31360389 http://dx.doi.org/10.1155/2019/9873430 |
work_keys_str_mv | AT smolenmagdalena consistencyofoutputsoftheselectedmotionacquisitionmethodsforhumanactivityrecognition |