Two-Layer Hidden Markov Model for Human Activity Recognition in Home Environments
Activities of Daily Livings (ADLs) refer to the activities that are carried out by an individual for everyday living. Recognition of ADLs is key element for building intelligent and pervasive environments. We propose a two-layer HMM to build a ADLs recognition model that can represent the mapping be...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-01-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2016/4560365 |
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| _version_ | 1832555286002401280 |
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| author | M. Humayun Kabir M. Robiul Hoque Keshav Thapa Sung-Hyun Yang |
| author_facet | M. Humayun Kabir M. Robiul Hoque Keshav Thapa Sung-Hyun Yang |
| author_sort | M. Humayun Kabir |
| collection | DOAJ |
| description | Activities of Daily Livings (ADLs) refer to the activities that are carried out by an individual for everyday living. Recognition of ADLs is key element for building intelligent and pervasive environments. We propose a two-layer HMM to build a ADLs recognition model that can represent the mapping between low-level sensor data and high-level activity based on the binary sensor data. We used embedded sensor with appliances or object to get object used sequence data as well as object name, type, interaction time, and location. In the first layer, we use location data of object used sensor to predict the activity class and in the second layer object used sequence data to determine the exact activity. We perform comparison with other activity recognition models using three real datasets to validate the proposed model. The results show that the proposed model achieves significantly better recognition performance than other models. |
| format | Article |
| id | doaj-art-b8c5412f295549b8a92e70f810044fd8 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-b8c5412f295549b8a92e70f810044fd82025-02-03T05:48:37ZengWileyInternational Journal of Distributed Sensor Networks1550-14772016-01-011210.1155/2016/45603654560365Two-Layer Hidden Markov Model for Human Activity Recognition in Home EnvironmentsM. Humayun KabirM. Robiul HoqueKeshav ThapaSung-Hyun YangActivities of Daily Livings (ADLs) refer to the activities that are carried out by an individual for everyday living. Recognition of ADLs is key element for building intelligent and pervasive environments. We propose a two-layer HMM to build a ADLs recognition model that can represent the mapping between low-level sensor data and high-level activity based on the binary sensor data. We used embedded sensor with appliances or object to get object used sequence data as well as object name, type, interaction time, and location. In the first layer, we use location data of object used sensor to predict the activity class and in the second layer object used sequence data to determine the exact activity. We perform comparison with other activity recognition models using three real datasets to validate the proposed model. The results show that the proposed model achieves significantly better recognition performance than other models.https://doi.org/10.1155/2016/4560365 |
| spellingShingle | M. Humayun Kabir M. Robiul Hoque Keshav Thapa Sung-Hyun Yang Two-Layer Hidden Markov Model for Human Activity Recognition in Home Environments International Journal of Distributed Sensor Networks |
| title | Two-Layer Hidden Markov Model for Human Activity Recognition in Home Environments |
| title_full | Two-Layer Hidden Markov Model for Human Activity Recognition in Home Environments |
| title_fullStr | Two-Layer Hidden Markov Model for Human Activity Recognition in Home Environments |
| title_full_unstemmed | Two-Layer Hidden Markov Model for Human Activity Recognition in Home Environments |
| title_short | Two-Layer Hidden Markov Model for Human Activity Recognition in Home Environments |
| title_sort | two layer hidden markov model for human activity recognition in home environments |
| url | https://doi.org/10.1155/2016/4560365 |
| work_keys_str_mv | AT mhumayunkabir twolayerhiddenmarkovmodelforhumanactivityrecognitioninhomeenvironments AT mrobiulhoque twolayerhiddenmarkovmodelforhumanactivityrecognitioninhomeenvironments AT keshavthapa twolayerhiddenmarkovmodelforhumanactivityrecognitioninhomeenvironments AT sunghyunyang twolayerhiddenmarkovmodelforhumanactivityrecognitioninhomeenvironments |