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Human Activity Recognition in AAL Environments Using Random Projections
Automatic human activity recognition systems aim to capture the state of the user and its environment by exploiting heterogeneous sensors attached to the subject's body and permit continuous monitoring of numerous physiological signals reflecting the state of human actions. Successful identific...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4931102/ https://www.ncbi.nlm.nih.gov/pubmed/27413392 http://dx.doi.org/10.1155/2016/4073584 |
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author | Damaševičius, Robertas Vasiljevas, Mindaugas Šalkevičius, Justas Woźniak, Marcin |
author_facet | Damaševičius, Robertas Vasiljevas, Mindaugas Šalkevičius, Justas Woźniak, Marcin |
author_sort | Damaševičius, Robertas |
collection | PubMed |
description | Automatic human activity recognition systems aim to capture the state of the user and its environment by exploiting heterogeneous sensors attached to the subject's body and permit continuous monitoring of numerous physiological signals reflecting the state of human actions. Successful identification of human activities can be immensely useful in healthcare applications for Ambient Assisted Living (AAL), for automatic and intelligent activity monitoring systems developed for elderly and disabled people. In this paper, we propose the method for activity recognition and subject identification based on random projections from high-dimensional feature space to low-dimensional projection space, where the classes are separated using the Jaccard distance between probability density functions of projected data. Two HAR domain tasks are considered: activity identification and subject identification. The experimental results using the proposed method with Human Activity Dataset (HAD) data are presented. |
format | Online Article Text |
id | pubmed-4931102 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-49311022016-07-13 Human Activity Recognition in AAL Environments Using Random Projections Damaševičius, Robertas Vasiljevas, Mindaugas Šalkevičius, Justas Woźniak, Marcin Comput Math Methods Med Research Article Automatic human activity recognition systems aim to capture the state of the user and its environment by exploiting heterogeneous sensors attached to the subject's body and permit continuous monitoring of numerous physiological signals reflecting the state of human actions. Successful identification of human activities can be immensely useful in healthcare applications for Ambient Assisted Living (AAL), for automatic and intelligent activity monitoring systems developed for elderly and disabled people. In this paper, we propose the method for activity recognition and subject identification based on random projections from high-dimensional feature space to low-dimensional projection space, where the classes are separated using the Jaccard distance between probability density functions of projected data. Two HAR domain tasks are considered: activity identification and subject identification. The experimental results using the proposed method with Human Activity Dataset (HAD) data are presented. Hindawi Publishing Corporation 2016 2016-06-20 /pmc/articles/PMC4931102/ /pubmed/27413392 http://dx.doi.org/10.1155/2016/4073584 Text en Copyright © 2016 Robertas Damaševičius et al. https://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 Damaševičius, Robertas Vasiljevas, Mindaugas Šalkevičius, Justas Woźniak, Marcin Human Activity Recognition in AAL Environments Using Random Projections |
title | Human Activity Recognition in AAL Environments Using Random Projections |
title_full | Human Activity Recognition in AAL Environments Using Random Projections |
title_fullStr | Human Activity Recognition in AAL Environments Using Random Projections |
title_full_unstemmed | Human Activity Recognition in AAL Environments Using Random Projections |
title_short | Human Activity Recognition in AAL Environments Using Random Projections |
title_sort | human activity recognition in aal environments using random projections |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4931102/ https://www.ncbi.nlm.nih.gov/pubmed/27413392 http://dx.doi.org/10.1155/2016/4073584 |
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