People Walking Classification Using Automotive Radar
Automotive radars are able to guarantee high performances at the expenses of a relatively low cost, and recently their application has been extended to several fields in addition to the original one. In this paper we consider the use of this kind of radars to discriminate different types of people’s...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-03-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/9/4/588 |
| _version_ | 1797417391435546624 |
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| author | Linda Senigagliesi Gianluca Ciattaglia Adelmo De Santis Ennio Gambi |
| author_facet | Linda Senigagliesi Gianluca Ciattaglia Adelmo De Santis Ennio Gambi |
| author_sort | Linda Senigagliesi |
| collection | DOAJ |
| description | Automotive radars are able to guarantee high performances at the expenses of a relatively low cost, and recently their application has been extended to several fields in addition to the original one. In this paper we consider the use of this kind of radars to discriminate different types of people’s movements in a real context. To this end, we exploit two different maps obtained from radar, that is, a spectrogram and a range-Doppler map. Through the application of dimensionality reduction methods, such as principal component analysis (PCA) and t-distributed stochastic neighbor embedding (t-SNE) algorithm, and the use of machine learning techniques we prove that is possible to classify with a very good precision people’s way of walking even employing commercial devices specifically designed for other purposes. |
| first_indexed | 2024-03-09T06:19:08Z |
| format | Article |
| id | doaj.art-be94750803874ca98069e439530127ab |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-09T06:19:08Z |
| publishDate | 2020-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-be94750803874ca98069e439530127ab2023-12-03T11:50:38ZengMDPI AGElectronics2079-92922020-03-019458810.3390/electronics9040588People Walking Classification Using Automotive RadarLinda Senigagliesi0Gianluca Ciattaglia1Adelmo De Santis2Ennio Gambi3Department of Information Engineering, Università Politecnica delle Marche, via Brecce Bianche 12, 60131 Ancona, ItalyDepartment of Information Engineering, Università Politecnica delle Marche, via Brecce Bianche 12, 60131 Ancona, ItalyDepartment of Information Engineering, Università Politecnica delle Marche, via Brecce Bianche 12, 60131 Ancona, ItalyDepartment of Information Engineering, Università Politecnica delle Marche, via Brecce Bianche 12, 60131 Ancona, ItalyAutomotive radars are able to guarantee high performances at the expenses of a relatively low cost, and recently their application has been extended to several fields in addition to the original one. In this paper we consider the use of this kind of radars to discriminate different types of people’s movements in a real context. To this end, we exploit two different maps obtained from radar, that is, a spectrogram and a range-Doppler map. Through the application of dimensionality reduction methods, such as principal component analysis (PCA) and t-distributed stochastic neighbor embedding (t-SNE) algorithm, and the use of machine learning techniques we prove that is possible to classify with a very good precision people’s way of walking even employing commercial devices specifically designed for other purposes.https://www.mdpi.com/2079-9292/9/4/588automotive radarmachine learningwalking analysis |
| spellingShingle | Linda Senigagliesi Gianluca Ciattaglia Adelmo De Santis Ennio Gambi People Walking Classification Using Automotive Radar Electronics automotive radar machine learning walking analysis |
| title | People Walking Classification Using Automotive Radar |
| title_full | People Walking Classification Using Automotive Radar |
| title_fullStr | People Walking Classification Using Automotive Radar |
| title_full_unstemmed | People Walking Classification Using Automotive Radar |
| title_short | People Walking Classification Using Automotive Radar |
| title_sort | people walking classification using automotive radar |
| topic | automotive radar machine learning walking analysis |
| url | https://www.mdpi.com/2079-9292/9/4/588 |
| work_keys_str_mv | AT lindasenigagliesi peoplewalkingclassificationusingautomotiveradar AT gianlucaciattaglia peoplewalkingclassificationusingautomotiveradar AT adelmodesantis peoplewalkingclassificationusingautomotiveradar AT enniogambi peoplewalkingclassificationusingautomotiveradar |