Indoor Human Motion Recognition Based on FMCW Radar and Threshold Comparison Algorithm
Radar technology, particularly frequency-modulated continuous wave (FMCW) radar, has garnered attention in the field of smart home monitoring owing to its high sensitivity, long-range surveillance capabilities, and privacy-preserving characteristics. This study proposed a human motion state recognit...
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/11103730/ |
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| author | Ruoyu He Masaki Kurosawa Guanghao Sun |
| author_facet | Ruoyu He Masaki Kurosawa Guanghao Sun |
| author_sort | Ruoyu He |
| collection | DOAJ |
| description | Radar technology, particularly frequency-modulated continuous wave (FMCW) radar, has garnered attention in the field of smart home monitoring owing to its high sensitivity, long-range surveillance capabilities, and privacy-preserving characteristics. This study proposed a human motion state recognition system to recognize motion states based on the spectra from radar signals in a home environment. The velocity of a target is assessed by comparing a micro-Doppler signature against a velocity threshold, and its height signature discerns between high and low postures against a height threshold. The horizontal position of the target is determined using a range–angle map. The proposed threshold algorithm defines the motion state using the velocity, height postures and indoor position. Subsequently, the performance of the system is evaluated by conducting experiments on 10 subjects. The results demonstrate the efficacy of the proposed method, achieving an accuracy of approximately 85%. In continuous-action experiments involving sequences of movements, the system achieved recognition accuracy exceeding 90%. |
| format | Article |
| id | doaj-art-42d8a7436efc40ee94af29b15f4af22b |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-42d8a7436efc40ee94af29b15f4af22b2025-08-20T03:40:59ZengIEEEIEEE Access2169-35362025-01-011313493013494210.1109/ACCESS.2025.359395711103730Indoor Human Motion Recognition Based on FMCW Radar and Threshold Comparison AlgorithmRuoyu He0https://orcid.org/0009-0001-2211-1313Masaki Kurosawa1https://orcid.org/0000-0003-4812-8364Guanghao Sun2https://orcid.org/0000-0001-5639-3171Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, JapanGraduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, JapanGraduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, JapanRadar technology, particularly frequency-modulated continuous wave (FMCW) radar, has garnered attention in the field of smart home monitoring owing to its high sensitivity, long-range surveillance capabilities, and privacy-preserving characteristics. This study proposed a human motion state recognition system to recognize motion states based on the spectra from radar signals in a home environment. The velocity of a target is assessed by comparing a micro-Doppler signature against a velocity threshold, and its height signature discerns between high and low postures against a height threshold. The horizontal position of the target is determined using a range–angle map. The proposed threshold algorithm defines the motion state using the velocity, height postures and indoor position. Subsequently, the performance of the system is evaluated by conducting experiments on 10 subjects. The results demonstrate the efficacy of the proposed method, achieving an accuracy of approximately 85%. In continuous-action experiments involving sequences of movements, the system achieved recognition accuracy exceeding 90%.https://ieeexplore.ieee.org/document/11103730/FMCW radarthreshold comparingsmart homemotion recognition |
| spellingShingle | Ruoyu He Masaki Kurosawa Guanghao Sun Indoor Human Motion Recognition Based on FMCW Radar and Threshold Comparison Algorithm IEEE Access FMCW radar threshold comparing smart home motion recognition |
| title | Indoor Human Motion Recognition Based on FMCW Radar and Threshold Comparison Algorithm |
| title_full | Indoor Human Motion Recognition Based on FMCW Radar and Threshold Comparison Algorithm |
| title_fullStr | Indoor Human Motion Recognition Based on FMCW Radar and Threshold Comparison Algorithm |
| title_full_unstemmed | Indoor Human Motion Recognition Based on FMCW Radar and Threshold Comparison Algorithm |
| title_short | Indoor Human Motion Recognition Based on FMCW Radar and Threshold Comparison Algorithm |
| title_sort | indoor human motion recognition based on fmcw radar and threshold comparison algorithm |
| topic | FMCW radar threshold comparing smart home motion recognition |
| url | https://ieeexplore.ieee.org/document/11103730/ |
| work_keys_str_mv | AT ruoyuhe indoorhumanmotionrecognitionbasedonfmcwradarandthresholdcomparisonalgorithm AT masakikurosawa indoorhumanmotionrecognitionbasedonfmcwradarandthresholdcomparisonalgorithm AT guanghaosun indoorhumanmotionrecognitionbasedonfmcwradarandthresholdcomparisonalgorithm |