Poster Title (Current Submission)

New Capabilities for Vison-based Posture Prediction

Major(s)

Biomedical Engineering

Minor(s)

Spanish

Mentor Name

Tim Marler

Mentor Department

Mechanical Engineering

Presentation Date

3-22-2011

Abstract

Using Santos™, a real-time predictive physics-based virtual human developed by Virtual Soldier Research, a new vision model was created for digital human models. Although field of view (FOV) is a commonly used evaluation parameter with digital human models, minimal research has involved modeling how eye motion (relative to the head and body) affects the FOV and posture of a digital human striving to see a particular target. Few models incorporate independent eye movement and the effects of obstacles, with the ability to predict human posture realistically. This work presents critical components for simulating how vision affects human posture: eye movement and visual obstacle avoidance.

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Mar 22nd, 12:00 AM

New Capabilities for Vison-based Posture Prediction

Using Santos™, a real-time predictive physics-based virtual human developed by Virtual Soldier Research, a new vision model was created for digital human models. Although field of view (FOV) is a commonly used evaluation parameter with digital human models, minimal research has involved modeling how eye motion (relative to the head and body) affects the FOV and posture of a digital human striving to see a particular target. Few models incorporate independent eye movement and the effects of obstacles, with the ability to predict human posture realistically. This work presents critical components for simulating how vision affects human posture: eye movement and visual obstacle avoidance.