Binary relevance model for activity recognition in home environment using ambient sensors
One of the most important applications of the smart home environment is health monitoring and assistance by analysing activities of daily living and here Human Activity Recognition (HAR) plays a major role. The HAR problem, basically a temporal classification problem has been modelled in the past wi...
Main Authors: | , , , , , |
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Format: | Conference or Workshop Item |
Language: | English |
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IEEE
2019
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Online Access: | http://psasir.upm.edu.my/id/eprint/78084/1/Binary%20relevance%20model%20for%20activity%20recognition%20in%20home%20environment%20using%20ambient%20sensors.pdf |
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author | Jethanandani, Manan Perumal, Thinagaran Liaw, Yuh Ching Chang, Jieh Ren Sharma, Abhishek Bao, Yipeng |
author_facet | Jethanandani, Manan Perumal, Thinagaran Liaw, Yuh Ching Chang, Jieh Ren Sharma, Abhishek Bao, Yipeng |
author_sort | Jethanandani, Manan |
collection | UPM |
description | One of the most important applications of the smart home environment is health monitoring and assistance by analysing activities of daily living and here Human Activity Recognition (HAR) plays a major role. The HAR problem, basically a temporal classification problem has been modelled in the past with various methods such as Bayesian Networks, Hidden Markov Model, Conditional Random Field, etc. Here, we propose the Binary Relevance Method of the multi- label classification to tackle the multi-resident activity recognition problem on real world dataset. Through the results obtained by the evaluation metrics namely accuracy, precision and hamming loss, it can be inferred that the model not only computes competitive results to previous works but also signifies the importance of the baseline Binary Relevance method to solve multi-label problems. |
first_indexed | 2024-03-06T10:22:41Z |
format | Conference or Workshop Item |
id | upm.eprints-78084 |
institution | Universiti Putra Malaysia |
language | English |
last_indexed | 2024-03-06T10:22:41Z |
publishDate | 2019 |
publisher | IEEE |
record_format | dspace |
spelling | upm.eprints-780842020-06-03T06:30:32Z http://psasir.upm.edu.my/id/eprint/78084/ Binary relevance model for activity recognition in home environment using ambient sensors Jethanandani, Manan Perumal, Thinagaran Liaw, Yuh Ching Chang, Jieh Ren Sharma, Abhishek Bao, Yipeng One of the most important applications of the smart home environment is health monitoring and assistance by analysing activities of daily living and here Human Activity Recognition (HAR) plays a major role. The HAR problem, basically a temporal classification problem has been modelled in the past with various methods such as Bayesian Networks, Hidden Markov Model, Conditional Random Field, etc. Here, we propose the Binary Relevance Method of the multi- label classification to tackle the multi-resident activity recognition problem on real world dataset. Through the results obtained by the evaluation metrics namely accuracy, precision and hamming loss, it can be inferred that the model not only computes competitive results to previous works but also signifies the importance of the baseline Binary Relevance method to solve multi-label problems. IEEE 2019 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/78084/1/Binary%20relevance%20model%20for%20activity%20recognition%20in%20home%20environment%20using%20ambient%20sensors.pdf Jethanandani, Manan and Perumal, Thinagaran and Liaw, Yuh Ching and Chang, Jieh Ren and Sharma, Abhishek and Bao, Yipeng (2019) Binary relevance model for activity recognition in home environment using ambient sensors. In: 6th IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW), 20-22 May 2019, Yilan, Taiwan. . 10.1109/ICCE-TW46550.2019.8991837 |
spellingShingle | Jethanandani, Manan Perumal, Thinagaran Liaw, Yuh Ching Chang, Jieh Ren Sharma, Abhishek Bao, Yipeng Binary relevance model for activity recognition in home environment using ambient sensors |
title | Binary relevance model for activity recognition in home environment using ambient sensors |
title_full | Binary relevance model for activity recognition in home environment using ambient sensors |
title_fullStr | Binary relevance model for activity recognition in home environment using ambient sensors |
title_full_unstemmed | Binary relevance model for activity recognition in home environment using ambient sensors |
title_short | Binary relevance model for activity recognition in home environment using ambient sensors |
title_sort | binary relevance model for activity recognition in home environment using ambient sensors |
url | http://psasir.upm.edu.my/id/eprint/78084/1/Binary%20relevance%20model%20for%20activity%20recognition%20in%20home%20environment%20using%20ambient%20sensors.pdf |
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