| Title: | Digital signal processing tools for radar-based human-computer interaction |
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| Authors: | ID Attygalle, Nuwan (Author)
ID Kljun, Matjaž (Author)
ID Čopič Pucihar, Klen (Author) |
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| Files: |  RAZ_Attygalle_Nuwan_2026.pdf (41,69 MB)
MD5: E1E8E065E31863E61A47EA454EC24DC0
 https://link.springer.com/chapter/10.1007/978-3-032-04327-6_2
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| Language: | English |
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| Work type: | Unknown |
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| Typology: | 1.16 - Independent Scientific Component Part or a Chapter in a Monograph |
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| Organization: | FAMNIT - Faculty of Mathematics, Science and Information Technologies
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| Abstract: | In recent years, miniature radar-on-chip sensors have been explored for HCI by both academia and industry. This is driven by the availability of affordable radar hardware and advances in signal processing and machine learning. However, comparative evaluation of radar-based gesture interaction systems is challanging and rear. One important dimension for comparison is the set of radar signal representa- tions derived from raw voltage data. These representations commonly include range- Doppler, range-azimuth-angle, range-elevation-angle, point cloud and In-phase and Quadrature (IQ) radar cube formats. However, existing studies often restrict com- parative analysis to a single signal representation type, typically focusing on gesture recognition algorithms or minor variations within Digital Signal Processing (DSP) pipelines. To promote comparative evaluation of radar signal representations, this chapter develops an open-source application designed to facilitate efficient and reli- able dataset preparation of various radar signal representations. The application sup- ports visualisation of generated signal representations and includes a command-line interface for batch processing, thereby streamlining the dataset preparation workflow. |
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| Keywords: | digital signal processing, radar, human-computer interaction |
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| Publication version: | Submitted Version |
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| Year of publishing: | 2026 |
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| Number of pages: | Str. 31-46 |
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| PID: | 20.500.12556/RUP-23049  |
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| UDC: | 004.5 |
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| ISSN on article: | 1571-5035 |
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| DOI: | 10.1007/978-3-032-04327-6_2 |
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| COBISS.SI-ID: | 277040899 |
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| Publication date in RUP: | 18.05.2026 |
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| Views: | 45 |
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| Downloads: | 2 |
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| Metadata: |    |
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