Identification of Human Motion Using Radar Sensor in an Indoor Environment
In this paper, we propose a method of identifying human motions, such as standing, walking, running, and crawling, using a millimeter wave radar sensor. In our method, two signal processing is performed in parallel to identify the human motions. First, the moment at which a person’s motion changes i...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-03-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/7/2305 |
| _version_ | 1797540033166573568 |
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| author | Sung-wook Kang Min-ho Jang Seongwook Lee |
| author_facet | Sung-wook Kang Min-ho Jang Seongwook Lee |
| author_sort | Sung-wook Kang |
| collection | DOAJ |
| description | In this paper, we propose a method of identifying human motions, such as standing, walking, running, and crawling, using a millimeter wave radar sensor. In our method, two signal processing is performed in parallel to identify the human motions. First, the moment at which a person’s motion changes is determined based on the statistical characteristics of the radar signal. Second, a deep learning-based classification algorithm is applied to determine what actions a person is taking. In each of the two signal processing, radar spectrograms containing the characteristics of the distance change over time are used as input. Finally, we evaluate the performance of the proposed method with radar sensor data acquired in an indoor environment. The proposed method can find the moment when the motion changes with an error rate of 3%, and also can classify the action that a person is taking with more than 95% accuracy. |
| first_indexed | 2024-03-10T12:54:18Z |
| format | Article |
| id | doaj.art-80df1c47f0424235846398ccb2edea4c |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T12:54:18Z |
| publishDate | 2021-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-80df1c47f0424235846398ccb2edea4c2023-11-21T12:03:15ZengMDPI AGSensors1424-82202021-03-01217230510.3390/s21072305Identification of Human Motion Using Radar Sensor in an Indoor EnvironmentSung-wook Kang0Min-ho Jang1Seongwook Lee2School of Electronics and Information Engineering, College of Engineering, Korea Aerospace University, Goyang-si 10540, Gyeonggi-do, KoreaSchool of Electronics and Information Engineering, College of Engineering, Korea Aerospace University, Goyang-si 10540, Gyeonggi-do, KoreaSchool of Electronics and Information Engineering, College of Engineering, Korea Aerospace University, Goyang-si 10540, Gyeonggi-do, KoreaIn this paper, we propose a method of identifying human motions, such as standing, walking, running, and crawling, using a millimeter wave radar sensor. In our method, two signal processing is performed in parallel to identify the human motions. First, the moment at which a person’s motion changes is determined based on the statistical characteristics of the radar signal. Second, a deep learning-based classification algorithm is applied to determine what actions a person is taking. In each of the two signal processing, radar spectrograms containing the characteristics of the distance change over time are used as input. Finally, we evaluate the performance of the proposed method with radar sensor data acquired in an indoor environment. The proposed method can find the moment when the motion changes with an error rate of 3%, and also can classify the action that a person is taking with more than 95% accuracy.https://www.mdpi.com/1424-8220/21/7/2305motion identificationradar sensorspectrogramtarget classification |
| spellingShingle | Sung-wook Kang Min-ho Jang Seongwook Lee Identification of Human Motion Using Radar Sensor in an Indoor Environment Sensors motion identification radar sensor spectrogram target classification |
| title | Identification of Human Motion Using Radar Sensor in an Indoor Environment |
| title_full | Identification of Human Motion Using Radar Sensor in an Indoor Environment |
| title_fullStr | Identification of Human Motion Using Radar Sensor in an Indoor Environment |
| title_full_unstemmed | Identification of Human Motion Using Radar Sensor in an Indoor Environment |
| title_short | Identification of Human Motion Using Radar Sensor in an Indoor Environment |
| title_sort | identification of human motion using radar sensor in an indoor environment |
| topic | motion identification radar sensor spectrogram target classification |
| url | https://www.mdpi.com/1424-8220/21/7/2305 |
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