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...

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Main Authors: Jethanandani, Manan, Perumal, Thinagaran, Liaw, Yuh Ching, Chang, Jieh Ren, Sharma, Abhishek, Bao, Yipeng
Format: Conference or Workshop Item
Language:English
Published: IEEE 2019
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.
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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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