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MambaGaze framework uses Mamba-2 for cognitive load assessment

By PulseAugur Editorial · [2 sources] ·

Researchers have developed MambaGaze, a new framework designed to accurately assess cognitive load using eye-gaze tracking data. This system utilizes bidirectional Mamba-2 to efficiently model long-range temporal dependencies and an XMD encoding method to explicitly handle missing data, such as that caused by blinks. MambaGaze demonstrated superior performance over existing models on benchmark datasets and is feasible for real-time deployment on edge devices like NVIDIA Jetson platforms. AI

IMPACT Introduces a novel approach for real-time cognitive load assessment, potentially enabling more responsive human-AI interaction in safety-critical systems.

RANK_REASON The cluster contains an academic paper detailing a new model and its experimental results.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

MambaGaze framework uses Mamba-2 for cognitive load assessment

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The cluster contains an academic paper detailing a new model and its experimental results.
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COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Amir Mousavi, Mohammad Sadegh Sirjani, Erfan Nourbakhsh, Mimi Xie, Rocky Slavin, Leslie Neely, John Davis, John Quarles ·

    MambaGaze: Bidirectional Mamba with Explicit Missing Data Modeling for Cognitive Load Assessment from Eye-Gaze Tracking Data

    arXiv:2605.22775v1 Announce Type: new Abstract: Real-time cognitive load assessment from eye-tracking signals could potentially enable adaptive human-centered-AI such as safety-critical applications such as driver vigilance monitoring or automated flight deck assistance, yet two …

  2. arXiv cs.AI TIER_1 English(EN) · John Quarles ·

    MambaGaze: Bidirectional Mamba with Explicit Missing Data Modeling for Cognitive Load Assessment from Eye-Gaze Tracking Data

    Real-time cognitive load assessment from eye-tracking signals could potentially enable adaptive human-centered-AI such as safety-critical applications such as driver vigilance monitoring or automated flight deck assistance, yet two challenges persist: handling frequent data missi…

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