3 papers
cs.CV2025
GazeSCRNN: Event-based Near-eye Gaze Tracking using a Spiking Neural Network
Stijn Groenen, Marzieh Hassanshahi Varposhti, Mahyar Shahsavari
This work introduces GazeSCRNN, a novel spiking convolutional recurrent neural network designed for event-based near-eye gaze tracking. Leveraging the high temporal resolution, ene…
cs.LG2024
Energy-Efficient Spiking Recurrent Neural Network for Gesture Recognition on Embedded GPUs
Marzieh Hassanshahi Varposhti, Mahyar Shahsavari, Marcel van Gerven
Implementing AI algorithms on event-based embedded devices enables real-time processing of data, minimizes latency, and enhances power efficiency in edge computing. This research e…
cs.LG2024
STAL: Spike Threshold Adaptive Learning Encoder for Classification of Pain-Related Biosignal Data
Freek Hens, Mohammad Mahdi Dehshibi, Leila Bagheriye +2
This paper presents the first application of spiking neural networks (SNNs) for the classification of chronic lower back pain (CLBP) using the EmoPain dataset. Our work has two mai…