Activity Detection from Electricity Consumption and Communication Usage Data for Monitoring Lonely Deaths
As the number of single-person households grows worldwide, the need to monitor their safety is gradually increasing. Among several approaches developed previously, analyzing the daily lifelog data generated unwittingly, such as electricity consumption or communication usage, has been discussed. Howe...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-04-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/9/3016 |
| _version_ | 1797536294211944448 |
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| author | Gyubaek Kim Sanghyun Park |
| author_facet | Gyubaek Kim Sanghyun Park |
| author_sort | Gyubaek Kim |
| collection | DOAJ |
| description | As the number of single-person households grows worldwide, the need to monitor their safety is gradually increasing. Among several approaches developed previously, analyzing the daily lifelog data generated unwittingly, such as electricity consumption or communication usage, has been discussed. However, data analysis methods in the domain are currently based on anomaly detection. This presents accuracy issues and the challenge of securing service reliability. We propose a new analysis method that finds activities such as operation or movement from electricity consumption and communication usage data. This is evidence of safety. As a result, we demonstrate better performance through comparative verification. Ultimately, this study aims to contribute to a more reliable implementation of a service that enables monitoring of lonely deaths. |
| first_indexed | 2024-03-10T11:58:39Z |
| format | Article |
| id | doaj.art-204bab6e33de44c1970c31cc5550a9c6 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T11:58:39Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-204bab6e33de44c1970c31cc5550a9c62023-11-21T17:06:06ZengMDPI AGSensors1424-82202021-04-01219301610.3390/s21093016Activity Detection from Electricity Consumption and Communication Usage Data for Monitoring Lonely DeathsGyubaek Kim0Sanghyun Park1Factory Data Development Team, SK Telecom, Seoul 04539, KoreaDepartment of Computer Science, Yonsei University, Seoul 03722, KoreaAs the number of single-person households grows worldwide, the need to monitor their safety is gradually increasing. Among several approaches developed previously, analyzing the daily lifelog data generated unwittingly, such as electricity consumption or communication usage, has been discussed. However, data analysis methods in the domain are currently based on anomaly detection. This presents accuracy issues and the challenge of securing service reliability. We propose a new analysis method that finds activities such as operation or movement from electricity consumption and communication usage data. This is evidence of safety. As a result, we demonstrate better performance through comparative verification. Ultimately, this study aims to contribute to a more reliable implementation of a service that enables monitoring of lonely deaths.https://www.mdpi.com/1424-8220/21/9/3016lonely deathssafety monitoringelectricity consumptioncommunication usageanomaly detectionactivity detection |
| spellingShingle | Gyubaek Kim Sanghyun Park Activity Detection from Electricity Consumption and Communication Usage Data for Monitoring Lonely Deaths Sensors lonely deaths safety monitoring electricity consumption communication usage anomaly detection activity detection |
| title | Activity Detection from Electricity Consumption and Communication Usage Data for Monitoring Lonely Deaths |
| title_full | Activity Detection from Electricity Consumption and Communication Usage Data for Monitoring Lonely Deaths |
| title_fullStr | Activity Detection from Electricity Consumption and Communication Usage Data for Monitoring Lonely Deaths |
| title_full_unstemmed | Activity Detection from Electricity Consumption and Communication Usage Data for Monitoring Lonely Deaths |
| title_short | Activity Detection from Electricity Consumption and Communication Usage Data for Monitoring Lonely Deaths |
| title_sort | activity detection from electricity consumption and communication usage data for monitoring lonely deaths |
| topic | lonely deaths safety monitoring electricity consumption communication usage anomaly detection activity detection |
| url | https://www.mdpi.com/1424-8220/21/9/3016 |
| work_keys_str_mv | AT gyubaekkim activitydetectionfromelectricityconsumptionandcommunicationusagedataformonitoringlonelydeaths AT sanghyunpark activitydetectionfromelectricityconsumptionandcommunicationusagedataformonitoringlonelydeaths |