3 citations · 5 across the 5 of their papers we have counts for
7 papers
A Lightweight 3D-CNN for Event-Based Human Action Recognition with Privacy-Preserving Potential
Mehdi Sefidgar Dilmaghani, Francis Fowley, Peter Corcoran
This paper presents a lightweight three-dimensional convolutional neural network (3DCNN) for human activity recognition (HAR) using event-based vision data. Privacy preservation is…
Autobiasing Event Cameras for Flickering Mitigation
Mehdi Sefidgar Dilmaghani, Waseem Shariff, Cian Ryan +2
Understanding and mitigating flicker effects caused by rapid variations in light intensity is critical for enhancing the performance of event cameras in diverse environments. This…
Autobiasing Event Cameras
Mehdi Sefidgar Dilmaghani, Waseem Shariff, Cian Ryan +2
This paper presents an autonomous method to address challenges arising from severe lighting conditions in machine vision applications that use event cameras. To manage these condit…
Neuromorphic Seatbelt State Detection for In-Cabin Monitoring with Event Cameras
Paul Kielty, Cian Ryan, Mehdi Sefidgar Dilmaghani +3
Neuromorphic vision sensors, or event cameras, differ from conventional cameras in that they do not capture images at a specified rate. Instead, they asynchronously log local brigh…
Decisive Data using Multi-Modality Optical Sensors for Advanced Vehicular Systems
Muhammad Ali Farooq, Waseem Shariff, Mehdi Sefidgar Dilmaghani +3
Optical sensors have played a pivotal role in acquiring real world data for critical applications. This data, when integrated with advanced machine learning algorithms provides mea…
Neuromorphic Sensing for Yawn Detection in Driver Drowsiness
Paul Kielty, Mehdi Sefidgar Dilmaghani, Cian Ryan +2
Driver monitoring systems (DMS) are a key component of vehicular safety and essential for the transition from semiautonomous to fully autonomous driving. A key task for DMS is to a…