1 citations · 1 across the 2 of their papers we have counts for
4 papers
MiDAS: A Multimodal Data Acquisition System and Dataset for Robot-Assisted Minimally Invasive Surgery
Keshara Weerasinghe, Seyed Hamid Reza Roodabeh, Andrew Hawkins +3
Background: Robot-assisted minimally invasive surgery (RMIS) research increasingly relies on multimodal data, yet access to proprietary robot telemetry remains a major barrier. We…
EgoEMS: A High-Fidelity Multimodal Egocentric Dataset for Cognitive Assistance in Emergency Medical Services
Keshara Weerasinghe, Xueren Ge, Tessa Heick +5
Emergency Medical Services (EMS) are critical to patient survival in emergencies, but first responders often face intense cognitive demands in high-stakes situations. AI cognitive…
Real-Time Multimodal Cognitive Assistant for Emergency Medical Services
Keshara Weerasinghe, Saahith Janapati, Xueren Ge +4
Emergency Medical Services (EMS) responders often operate under time-sensitive conditions, facing cognitive overload and inherent risks, requiring essential skills in critical thin…
Multimodal Transformers for Real-Time Surgical Activity Prediction
Keshara Weerasinghe, Seyed Hamid Reza Roodabeh, Kay Hutchinson +1
Real-time recognition and prediction of surgical activities are fundamental to advancing safety and autonomy in robot-assisted surgery. This paper presents a multimodal transformer…