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cs.HC2026

Towards the Threshold: A Fall-Risk Anchored Pareto Framework for Virtual Reality Gait Feedback Selection for Individuals with Multiple Sclerosis

Nafisa Anjum, John Quarles, M. Rasel Mahmud

Reduced walking speed in people with multiple sclerosis (MS) is associated with an increased risk of falls. However, virtual reality (VR)-based rehabilitation studies often emphasi…

cs.HC2026

Toward Postural State Classification in Immersive VR with Multimodal Data and Explainability Analysis

Nipa Anjum, Md Irfan Pavel, Robert Gonzalez +4

Ensuring a safe virtual reality (VR) experience requires systems that can predict and respond when users lose their balance. Although prior work has examined fall prediction and mo…

cs.CV2026

TSR-Ego: Temporally Guided Stereo Refinement Framework for Egocentric 3D Human Pose Estimation

Md Mushfiqur Azam, John Quarles, Kevin Desai

Egocentric 3D human pose estimation from head-mounted stereo cameras is challenging due to fisheye distortion, severe self-occlusion, and frequent truncation of body joints outside…

cs.LG2026

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

Amir Mousavi, Mohammad Sadegh Sirjani, Erfan Nourbakhsh +5

Real-time cognitive load assessment from eye-tracking signals could enable adaptive human-centered AI in safety-critical applications such as driver vigilance monitoring or automat…

cs.LG2026

CogAdapt: Adapting Clinical ECG Foundation Models for Wearable Cognitive Load Assessment

Amir Mousavi, Erfan Nourbakhsh, Mohammad Sadegh Sirjani +5

Assessing cognitive load continuously and at low latency would help adaptive human-computer interaction, but it remains hard because labeled data are scarce and models generalize p…