4 papers
When One Sensor Fails: Tolerating Dysfunction in Multi-Sensor Prototypes
Freek Hens, Amirhossein Sadough, Aleksa Bokšan +2
Surface electromyography (sEMG) sensors are widely used in human-computer interaction, yet the failure of a single sensor can compromise system usability. We propose a methodologic…
Exploring the Limitations of Layer Synchronization in Spiking Neural Networks
Roel Koopman, Amirreza Yousefzadeh, Mahyar Shahsavari +2
Neural-network processing in machine learning applications relies on layer synchronization. This is practiced even in artificial Spiking Neural Networks (SNNs), which are touted as…
Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series
Amirhossein Sadough, Mahyar Shahsavari, Mark Wijtvliet +1
Anomaly detection (AD) plays a vital role across a wide range of real-world domains by identifying data instances that deviate from expected patterns, potentially signaling critica…
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…