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- research-articleNovember 2022
Power-efficient gesture sensing for edge devices: mimicking fourier transforms with spiking neural networks
Applied Intelligence (KLU-APIN), Volume 53, Issue 12Pages 15147–15162https://doi.org/10.1007/s10489-022-04258-wAbstractOne of the key design requirements for any portable/mobile device is low power. To enable such a low powered device, we propose an embedded gesture detection system that uses spiking neural networks (SNNs) applied directly to raw ADC data of a 60G...
- research-articleSeptember 2021
Frequency Modulated Continuous Wave Radar-Based Navigation Algorithm using Artificial Neural Network for Autonomous Driving
2021 IEEE International Intelligent Transportation Systems Conference (ITSC)Pages 567–571https://doi.org/10.1109/ITSC48978.2021.9564750Autonomous driving is a highly complex task, which involves the use of numerous sensors and various algorithms. Testing of algorithms is difficult and therefore mostly done in simulations. Radar technology will play a key part due to various advantages. ...
- ArticleSeptember 2021
One-Shot Meta-learning for Radar-Based Gesture Sequences Recognition
Artificial Neural Networks and Machine Learning – ICANN 2021Pages 500–511https://doi.org/10.1007/978-3-030-86340-1_40AbstractRadar-based gesture recognition constitutes an intuitive way for enhancing human-computer interaction (HCI). However, training algorithms for HCI capable of adapting to gesture recognition often require a large dataset with many task examples. In ...
- research-articleSeptember 2021
Radar-Based Gesture Recognition System using Spiking Neural Network
2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )Pages 1–5https://doi.org/10.1109/ETFA45728.2021.9613183Hand gesture recognition has become an increasingly important functionality in intelligent human-computer interfaces, finding applications in automotive, gaming and consumer industries. In this paper, we present an embedded gesture recognition system ...
