March 12, 2024, 4:49 a.m. | Keshara Weerasinghe, Saahith Janapati, Xueren Ge, Sion Kim, Sneha Iyer, John A. Stankovic, Homa Alemzadeh

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.06734v1 Announce Type: cross
Abstract: Emergency Medical Services (EMS) responders often operate under time-sensitive conditions, facing cognitive overload and inherent risks, requiring essential skills in critical thinking and rapid decision-making. This paper presents CognitiveEMS, an end-to-end wearable cognitive assistant system that can act as a collaborative virtual partner engaging in the real-time acquisition and analysis of multimodal data from an emergency scene and interacting with EMS responders through Augmented Reality (AR) smart glasses. CognitiveEMS processes the continuous streams of data …

abstract act arxiv assistant cognitive collaborative cs.ai cs.cl cs.cv decision emergency ems making medical multimodal overload paper partner real-time risks services skills thinking type virtual wearable

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