Individual Identification Using Radar-Measured Respiratory and Heartbeat Features
This study proposes a method for radar-based identification of individuals using a combination of their respiratory and heartbeat features. In the proposed method, the target individual’s respiratory features are extracted using the modified raised-cosine-waveform model and their heartbea...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10802902/ |
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| author | Haruto Kobayashi Yuji Tanaka Takuya Sakamoto |
| author_facet | Haruto Kobayashi Yuji Tanaka Takuya Sakamoto |
| author_sort | Haruto Kobayashi |
| collection | DOAJ |
| description | This study proposes a method for radar-based identification of individuals using a combination of their respiratory and heartbeat features. In the proposed method, the target individual’s respiratory features are extracted using the modified raised-cosine-waveform model and their heartbeat features are extracted using the mel-frequency cepstral analysis technique. To identify a suitable combination of features and a classifier, we compare the performances of nine methods based on various combinations of three feature vectors with three classifiers. The accuracy of the proposed method in performing individual identification is evaluated using a 79-GHz millimeter-wave radar system with an antenna array in two experimental scenarios and we demonstrate the importance of use of the combination of the respiratory and heartbeat features in achieving accurate identification of individuals. The proposed method achieves accuracy of 96.33% when applied to a five-day dataset of six participants and 99.39% when applied to a public one-day dataset of thirty participants. |
| format | Article |
| id | doaj-art-0d5d739e630f4a8d8514127ed0bfbee7 |
| institution | OA Journals |
| issn | 2169-3536 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-0d5d739e630f4a8d8514127ed0bfbee72025-08-20T02:34:59ZengIEEEIEEE Access2169-35362024-01-011219097219098710.1109/ACCESS.2024.351766810802902Individual Identification Using Radar-Measured Respiratory and Heartbeat FeaturesHaruto Kobayashi0https://orcid.org/0009-0004-0327-6077Yuji Tanaka1https://orcid.org/0000-0002-9980-3529Takuya Sakamoto2https://orcid.org/0000-0003-0177-879XDepartment of Electrical Engineering, Graduate School of Engineering, Kyoto University, Kyoto, JapanDepartment of Mechanical and Electrical Engineering, Nagoya Institute of Technology, Nagoya, JapanDepartment of Electrical Engineering, Graduate School of Engineering, Kyoto University, Kyoto, JapanThis study proposes a method for radar-based identification of individuals using a combination of their respiratory and heartbeat features. In the proposed method, the target individual’s respiratory features are extracted using the modified raised-cosine-waveform model and their heartbeat features are extracted using the mel-frequency cepstral analysis technique. To identify a suitable combination of features and a classifier, we compare the performances of nine methods based on various combinations of three feature vectors with three classifiers. The accuracy of the proposed method in performing individual identification is evaluated using a 79-GHz millimeter-wave radar system with an antenna array in two experimental scenarios and we demonstrate the importance of use of the combination of the respiratory and heartbeat features in achieving accurate identification of individuals. The proposed method achieves accuracy of 96.33% when applied to a five-day dataset of six participants and 99.39% when applied to a public one-day dataset of thirty participants.https://ieeexplore.ieee.org/document/10802902/Classificationheartbeat featuresindividual identificationmillimeter-wave radarrespiratory features |
| spellingShingle | Haruto Kobayashi Yuji Tanaka Takuya Sakamoto Individual Identification Using Radar-Measured Respiratory and Heartbeat Features IEEE Access Classification heartbeat features individual identification millimeter-wave radar respiratory features |
| title | Individual Identification Using Radar-Measured Respiratory and Heartbeat Features |
| title_full | Individual Identification Using Radar-Measured Respiratory and Heartbeat Features |
| title_fullStr | Individual Identification Using Radar-Measured Respiratory and Heartbeat Features |
| title_full_unstemmed | Individual Identification Using Radar-Measured Respiratory and Heartbeat Features |
| title_short | Individual Identification Using Radar-Measured Respiratory and Heartbeat Features |
| title_sort | individual identification using radar measured respiratory and heartbeat features |
| topic | Classification heartbeat features individual identification millimeter-wave radar respiratory features |
| url | https://ieeexplore.ieee.org/document/10802902/ |
| work_keys_str_mv | AT harutokobayashi individualidentificationusingradarmeasuredrespiratoryandheartbeatfeatures AT yujitanaka individualidentificationusingradarmeasuredrespiratoryandheartbeatfeatures AT takuyasakamoto individualidentificationusingradarmeasuredrespiratoryandheartbeatfeatures |