Hand Gesture Recognition Using Frequency‐Modulated Continuous Wave Radar on Tactile Displays for the Visually Impaired
Hand Gesture Recognition In article number 2400663, Pegah Pezeshkpour and co-workers present a hand gesture recognition application using a radar sensor for Braille displays. The range-time and velocity-time maps were extracted from the raw data and were processed in the form of spectrogram images. Using support vector machines and convolutional neural network approaches, ten hand gestures were successfully classified with high detection accuracy.
Authors
- Pegah Pezeshkpour (ORCID: https://orcid.org/0000-0003-2583-1532)
- Ahmed Hamza (ORCID: https://orcid.org/0009-0009-1518-5582)
- Bastian E. Rapp (ORCID: https://orcid.org/0000-0002-3955-0291)
- Santosh Kumar Prabhulingaiah (ORCID: https://orcid.org/0009-0009-3052-196X)
Institutions
- University of Freiburg (DE)
Publication Details
- Journal
- Advanced Intelligent Systems
- Published
- 2025-02-01
- DOI
- https://doi.org/10.1002/aisy.202570009
- Citations
- 1
- Primary Topic
- Hand Gesture Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 1.94