Conflict resolution using enhanced label combination method for complex activity recognition in smart home environment
Activity recognition in smart home environment is becoming challenging when it is involving more than one resident living in the same space. It is not merely recognizing and tracking the multi-resident activity, but the interaction between them are also need to address in order to provide the great...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2017
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| Online Access: | http://psasir.upm.edu.my/id/eprint/59493/ http://psasir.upm.edu.my/id/eprint/59493/1/Conflict%20resolution%20using%20enhanced%20label%20combination%20method%20for%20complex%20activity%20recognition%20in%20smart%20home%20environment.pdf |
| _version_ | 1848853936380837888 |
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| author | Mohamed, Raihani Perumal, Thinagaran Sulaiman, Md. Nasir Mustapha, Norwati Razali, Mohd Norhisham |
| author_facet | Mohamed, Raihani Perumal, Thinagaran Sulaiman, Md. Nasir Mustapha, Norwati Razali, Mohd Norhisham |
| author_sort | Mohamed, Raihani |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Activity recognition in smart home environment is becoming challenging when it is involving more than one resident living in the same space. It is not merely recognizing and tracking the multi-resident activity, but the interaction between them are also need to address in order to provide the great autonomous ambient intelligence (AmL) system. It is a challenging task due to diversity and complexity level of human activity and resident interaction using only binary data from ambient-based type sensors. Strong approach is needed to identify types of interaction based on activity performed either it is individual, parallel or cooperative. Previously, researchers tend to simplify the problem and define the parallel as individual activity due to the sensors type are unobtrusive and open to noise in nature. Hence, we address this issue as separate interaction. This research presents the rule-based approach to recognize complex activity recognition in multi-resident scenario in a smart home setting. It has been tested on the real smart home datasets using multi-label classification technique using Enhanced Label Combination method with random forest as its base classifier. The quality of the classification is selected as evaluation metrics to measure the proposed solution. |
| first_indexed | 2025-11-15T11:01:53Z |
| format | Conference or Workshop Item |
| id | upm-59493 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:01:53Z |
| publishDate | 2017 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-594932018-03-07T04:49:04Z http://psasir.upm.edu.my/id/eprint/59493/ Conflict resolution using enhanced label combination method for complex activity recognition in smart home environment Mohamed, Raihani Perumal, Thinagaran Sulaiman, Md. Nasir Mustapha, Norwati Razali, Mohd Norhisham Activity recognition in smart home environment is becoming challenging when it is involving more than one resident living in the same space. It is not merely recognizing and tracking the multi-resident activity, but the interaction between them are also need to address in order to provide the great autonomous ambient intelligence (AmL) system. It is a challenging task due to diversity and complexity level of human activity and resident interaction using only binary data from ambient-based type sensors. Strong approach is needed to identify types of interaction based on activity performed either it is individual, parallel or cooperative. Previously, researchers tend to simplify the problem and define the parallel as individual activity due to the sensors type are unobtrusive and open to noise in nature. Hence, we address this issue as separate interaction. This research presents the rule-based approach to recognize complex activity recognition in multi-resident scenario in a smart home setting. It has been tested on the real smart home datasets using multi-label classification technique using Enhanced Label Combination method with random forest as its base classifier. The quality of the classification is selected as evaluation metrics to measure the proposed solution. IEEE 2017 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/59493/1/Conflict%20resolution%20using%20enhanced%20label%20combination%20method%20for%20complex%20activity%20recognition%20in%20smart%20home%20environment.pdf Mohamed, Raihani and Perumal, Thinagaran and Sulaiman, Md. Nasir and Mustapha, Norwati and Razali, Mohd Norhisham (2017) Conflict resolution using enhanced label combination method for complex activity recognition in smart home environment. In: 2017 IEEE 6th Global Conference on Consumer Electronics (GCCE 2017), 24-27 Oct. 2017, Nagoya, Japan. . 10.1109/GCCE.2017.8229477 |
| spellingShingle | Mohamed, Raihani Perumal, Thinagaran Sulaiman, Md. Nasir Mustapha, Norwati Razali, Mohd Norhisham Conflict resolution using enhanced label combination method for complex activity recognition in smart home environment |
| title | Conflict resolution using enhanced label combination method for complex activity recognition in smart home environment |
| title_full | Conflict resolution using enhanced label combination method for complex activity recognition in smart home environment |
| title_fullStr | Conflict resolution using enhanced label combination method for complex activity recognition in smart home environment |
| title_full_unstemmed | Conflict resolution using enhanced label combination method for complex activity recognition in smart home environment |
| title_short | Conflict resolution using enhanced label combination method for complex activity recognition in smart home environment |
| title_sort | conflict resolution using enhanced label combination method for complex activity recognition in smart home environment |
| url | http://psasir.upm.edu.my/id/eprint/59493/ http://psasir.upm.edu.my/id/eprint/59493/ http://psasir.upm.edu.my/id/eprint/59493/1/Conflict%20resolution%20using%20enhanced%20label%20combination%20method%20for%20complex%20activity%20recognition%20in%20smart%20home%20environment.pdf |