Research on Behavior Monitoring of Elderly Living Alone Based on Wearable Devices and Sensing Technology
Human behavior recognition and status monitoring are current research hotspots, especially in the fields of medical monitoring, smart home, and elderly care. With the development of sensor technology, low-power IC chips, and wireless body sensors, miniature sensor networks can be popularized and app...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2021/4200137 |
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| author | Mulin Yin |
| author_facet | Mulin Yin |
| author_sort | Mulin Yin |
| collection | DOAJ |
| description | Human behavior recognition and status monitoring are current research hotspots, especially in the fields of medical monitoring, smart home, and elderly care. With the development of sensor technology, low-power IC chips, and wireless body sensors, miniature sensor networks can be popularized and applied in daily life. Since the energy consumption of sensor networks is a bottleneck problem that limits its development, this paper designs a multimodal collaborative sensing method for the application scenarios of elderly people living alone to reduce energy consumption in the process of daily behavior perception of the elderly. This method subdivides behavior perception into behavior recognition and status monitoring, determines the optimal sensor combination for identifying monitoring different behaviors based on information theory, and then uses a behavior recognition model modeled by a multiclassifier and a status model modeled by a plurality of two classifiers that are used to perceive user behavior. A large number of experimental results show that compared with the traditional sensor network method, our proposed solution can achieve effective sensing while reducing the energy consumption in the process of data transmission and model calculation, thereby prolonging the working life of the sensing network and realizing long-term and reliable daily behavior perception. |
| format | Article |
| id | doaj-art-78f0e2447e174ba9b3ea3abf7ba6695a |
| institution | Kabale University |
| issn | 1687-5869 1687-5877 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj-art-78f0e2447e174ba9b3ea3abf7ba6695a2025-02-03T01:27:20ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772021-01-01202110.1155/2021/42001374200137Research on Behavior Monitoring of Elderly Living Alone Based on Wearable Devices and Sensing TechnologyMulin Yin0Jiangsu Food & Pharmaceutical Science College, Huai’an, Jiangsu 223003, ChinaHuman behavior recognition and status monitoring are current research hotspots, especially in the fields of medical monitoring, smart home, and elderly care. With the development of sensor technology, low-power IC chips, and wireless body sensors, miniature sensor networks can be popularized and applied in daily life. Since the energy consumption of sensor networks is a bottleneck problem that limits its development, this paper designs a multimodal collaborative sensing method for the application scenarios of elderly people living alone to reduce energy consumption in the process of daily behavior perception of the elderly. This method subdivides behavior perception into behavior recognition and status monitoring, determines the optimal sensor combination for identifying monitoring different behaviors based on information theory, and then uses a behavior recognition model modeled by a multiclassifier and a status model modeled by a plurality of two classifiers that are used to perceive user behavior. A large number of experimental results show that compared with the traditional sensor network method, our proposed solution can achieve effective sensing while reducing the energy consumption in the process of data transmission and model calculation, thereby prolonging the working life of the sensing network and realizing long-term and reliable daily behavior perception.http://dx.doi.org/10.1155/2021/4200137 |
| spellingShingle | Mulin Yin Research on Behavior Monitoring of Elderly Living Alone Based on Wearable Devices and Sensing Technology International Journal of Antennas and Propagation |
| title | Research on Behavior Monitoring of Elderly Living Alone Based on Wearable Devices and Sensing Technology |
| title_full | Research on Behavior Monitoring of Elderly Living Alone Based on Wearable Devices and Sensing Technology |
| title_fullStr | Research on Behavior Monitoring of Elderly Living Alone Based on Wearable Devices and Sensing Technology |
| title_full_unstemmed | Research on Behavior Monitoring of Elderly Living Alone Based on Wearable Devices and Sensing Technology |
| title_short | Research on Behavior Monitoring of Elderly Living Alone Based on Wearable Devices and Sensing Technology |
| title_sort | research on behavior monitoring of elderly living alone based on wearable devices and sensing technology |
| url | http://dx.doi.org/10.1155/2021/4200137 |
| work_keys_str_mv | AT mulinyin researchonbehaviormonitoringofelderlylivingalonebasedonwearabledevicesandsensingtechnology |