Human Occupancy Monitoring and Positioning with Speed-Responsive Adaptive Sliding Window Using an Infrared Thermal Array Sensor
In the current era of advanced IoT technology, human occupancy monitoring and positioning technology is widely used in various scenarios. For example, it can optimize passenger flow in public transportation systems, enhance safety in large shopping malls, and adjust smart home devices based on the l...
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MDPI AG
2024-12-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/25/1/129 |
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| author | Yukai Lin Qiangfu Zhao |
| author_facet | Yukai Lin Qiangfu Zhao |
| author_sort | Yukai Lin |
| collection | DOAJ |
| description | In the current era of advanced IoT technology, human occupancy monitoring and positioning technology is widely used in various scenarios. For example, it can optimize passenger flow in public transportation systems, enhance safety in large shopping malls, and adjust smart home devices based on the location and number of occupants for energy savings. Additionally, in homes requiring special care, it can provide timely assistance. However, this technology faces limitations such as privacy concerns, environmental factors, and costs. Traditional cameras may not effectively address these issues, but infrared thermal sensors can offer similar applications while overcoming these challenges. Infrared thermal sensors detect the infrared heat emitted by the human body, protecting privacy and functioning effectively day and night with low power consumption, making them ideal for continuous monitoring scenarios like security systems or elderly care. In this study, we propose a system using the AMG8833, an 8 × 8 Infrared Thermal Array Sensor. The sensor data are processed through interpolation, adaptive thresholding, and blob detection, and the merged human heat signatures are separated. To enhance stability in human position estimation, a dynamic sliding window adjusts its size based on movement speed, effectively handling environmental changes and uncertainties. |
| format | Article |
| id | doaj-art-513413663dc643b89e9d805e9f41e967 |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-513413663dc643b89e9d805e9f41e9672025-01-10T13:20:58ZengMDPI AGSensors1424-82202024-12-0125112910.3390/s25010129Human Occupancy Monitoring and Positioning with Speed-Responsive Adaptive Sliding Window Using an Infrared Thermal Array SensorYukai Lin0Qiangfu Zhao1Department of Computer and Information Systems, The University of Aizu, Aizuwakamatsu 965-8580, Fukushima, JapanDepartment of Computer and Information Systems, The University of Aizu, Aizuwakamatsu 965-8580, Fukushima, JapanIn the current era of advanced IoT technology, human occupancy monitoring and positioning technology is widely used in various scenarios. For example, it can optimize passenger flow in public transportation systems, enhance safety in large shopping malls, and adjust smart home devices based on the location and number of occupants for energy savings. Additionally, in homes requiring special care, it can provide timely assistance. However, this technology faces limitations such as privacy concerns, environmental factors, and costs. Traditional cameras may not effectively address these issues, but infrared thermal sensors can offer similar applications while overcoming these challenges. Infrared thermal sensors detect the infrared heat emitted by the human body, protecting privacy and functioning effectively day and night with low power consumption, making them ideal for continuous monitoring scenarios like security systems or elderly care. In this study, we propose a system using the AMG8833, an 8 × 8 Infrared Thermal Array Sensor. The sensor data are processed through interpolation, adaptive thresholding, and blob detection, and the merged human heat signatures are separated. To enhance stability in human position estimation, a dynamic sliding window adjusts its size based on movement speed, effectively handling environmental changes and uncertainties.https://www.mdpi.com/1424-8220/25/1/129occupancy monitoringindoor positioninginfrared thermal array sensoradaptive threshold |
| spellingShingle | Yukai Lin Qiangfu Zhao Human Occupancy Monitoring and Positioning with Speed-Responsive Adaptive Sliding Window Using an Infrared Thermal Array Sensor Sensors occupancy monitoring indoor positioning infrared thermal array sensor adaptive threshold |
| title | Human Occupancy Monitoring and Positioning with Speed-Responsive Adaptive Sliding Window Using an Infrared Thermal Array Sensor |
| title_full | Human Occupancy Monitoring and Positioning with Speed-Responsive Adaptive Sliding Window Using an Infrared Thermal Array Sensor |
| title_fullStr | Human Occupancy Monitoring and Positioning with Speed-Responsive Adaptive Sliding Window Using an Infrared Thermal Array Sensor |
| title_full_unstemmed | Human Occupancy Monitoring and Positioning with Speed-Responsive Adaptive Sliding Window Using an Infrared Thermal Array Sensor |
| title_short | Human Occupancy Monitoring and Positioning with Speed-Responsive Adaptive Sliding Window Using an Infrared Thermal Array Sensor |
| title_sort | human occupancy monitoring and positioning with speed responsive adaptive sliding window using an infrared thermal array sensor |
| topic | occupancy monitoring indoor positioning infrared thermal array sensor adaptive threshold |
| url | https://www.mdpi.com/1424-8220/25/1/129 |
| work_keys_str_mv | AT yukailin humanoccupancymonitoringandpositioningwithspeedresponsiveadaptiveslidingwindowusinganinfraredthermalarraysensor AT qiangfuzhao humanoccupancymonitoringandpositioningwithspeedresponsiveadaptiveslidingwindowusinganinfraredthermalarraysensor |