Random k-labelsets method for human activity recognition with multi-sensor data in smart home
In today's world, we are surrounded by ambient sensors everywhere that record our data of activities of daily living. Moreover, the solutions to various applications such as health care, surveillance, home monitoring, and so on are possible by inferring this data. Thus, human activity recogniti...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2019
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| Online Access: | http://psasir.upm.edu.my/id/eprint/78073/ http://psasir.upm.edu.my/id/eprint/78073/1/Random%20k-labelsets%20method%20for%20human%20activity%20recognition%20with%20multi-sensor%20data%20in%20smart%20home.pdf |
| _version_ | 1848858405608882176 |
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| author | Jethanandani, Manan Perumal, Thinagaran Sharma, Abhishek |
| author_facet | Jethanandani, Manan Perumal, Thinagaran Sharma, Abhishek |
| author_sort | Jethanandani, Manan |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | In today's world, we are surrounded by ambient sensors everywhere that record our data of activities of daily living. Moreover, the solutions to various applications such as health care, surveillance, home monitoring, and so on are possible by inferring this data. Thus, human activity recognition, especially in the smart home environment, has been a very actively researched problem. Multiple residents in a single home environment pose several challenges making multi-resident activity recognition a daunting task. Therefore, in this paper, we model the Random k-Labelsets method of the Multi-Label Classification to tackle this activity recognition problem. The proposed method not only takes label dependencies into account which is essential for multi-resident activity recognition but also overcomes the drawbacks of other problem transformation methods. Experiments are carried on a real smart home dataset and accuracy, precision and hamming loss are selected as metrics for evaluating the results of the proposed method. |
| first_indexed | 2025-11-15T12:12:56Z |
| format | Conference or Workshop Item |
| id | upm-78073 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T12:12:56Z |
| publishDate | 2019 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-780732020-06-02T03:10:18Z http://psasir.upm.edu.my/id/eprint/78073/ Random k-labelsets method for human activity recognition with multi-sensor data in smart home Jethanandani, Manan Perumal, Thinagaran Sharma, Abhishek In today's world, we are surrounded by ambient sensors everywhere that record our data of activities of daily living. Moreover, the solutions to various applications such as health care, surveillance, home monitoring, and so on are possible by inferring this data. Thus, human activity recognition, especially in the smart home environment, has been a very actively researched problem. Multiple residents in a single home environment pose several challenges making multi-resident activity recognition a daunting task. Therefore, in this paper, we model the Random k-Labelsets method of the Multi-Label Classification to tackle this activity recognition problem. The proposed method not only takes label dependencies into account which is essential for multi-resident activity recognition but also overcomes the drawbacks of other problem transformation methods. Experiments are carried on a real smart home dataset and accuracy, precision and hamming loss are selected as metrics for evaluating the results of the proposed method. IEEE 2019 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/78073/1/Random%20k-labelsets%20method%20for%20human%20activity%20recognition%20with%20multi-sensor%20data%20in%20smart%20home.pdf Jethanandani, Manan and Perumal, Thinagaran and Sharma, Abhishek (2019) Random k-labelsets method for human activity recognition with multi-sensor data in smart home. In: 2019 IEEE 16th India Council International Conference (INDICON), 13-15 Dec. 2019, Rajkot, India. . 10.1109/INDICON47234.2019.9030296 |
| spellingShingle | Jethanandani, Manan Perumal, Thinagaran Sharma, Abhishek Random k-labelsets method for human activity recognition with multi-sensor data in smart home |
| title | Random k-labelsets method for human activity recognition with multi-sensor data in smart home |
| title_full | Random k-labelsets method for human activity recognition with multi-sensor data in smart home |
| title_fullStr | Random k-labelsets method for human activity recognition with multi-sensor data in smart home |
| title_full_unstemmed | Random k-labelsets method for human activity recognition with multi-sensor data in smart home |
| title_short | Random k-labelsets method for human activity recognition with multi-sensor data in smart home |
| title_sort | random k-labelsets method for human activity recognition with multi-sensor data in smart home |
| url | http://psasir.upm.edu.my/id/eprint/78073/ http://psasir.upm.edu.my/id/eprint/78073/ http://psasir.upm.edu.my/id/eprint/78073/1/Random%20k-labelsets%20method%20for%20human%20activity%20recognition%20with%20multi-sensor%20data%20in%20smart%20home.pdf |