Maury Nussbaum

Professor

Virginia Tech

United States

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Professor Maury Nussbaum is a faculty member at Virginia Tech in the United States. His research focuses on ergonomics and human factors, with recent articles examining the effectiveness of wearable exoskeletons, AI-powered ergonomic assessments, and methods for classifying manual material handling tasks. His work contributes to understanding the physical demands associated with various labor-intensive activities, particularly in automotive and military contexts.

Articles (20)

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Virginia Tech

UNITED STATES

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Maury Nussbaum

Research Interests

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Articles (20)

Effectiveness and usability of a trunk posture feedback system: An exploratory, longitudinal study for up to 10 days among vehicle assembly operators

Passive back support exoskeletons do not effectively reduce physical demands during simulated floor tiling

Classifying Diverse Manual Material Handling Tasks Using Vision Transformers and Recurrent Neural Networks

Evaluating the Accuracy of AI-Powered Ergonomic Assessments Using a Commercial Computer Vision System

User Experiences and Adoption Factors for a Back-Support Exosuit in Automotive Logistics: Results from Field Testing up to 18 Months

Gait variability predicts post-fatigue obstacle course performance among military cadets: An exploratory study

Passive arm-support and back-support exoskeletons have distinct phase-dependent effects on physical demands during cart pushing and pulling: An exploratory study

Using musculoskeletal models to estimate the effects of exoskeletons on spine loads during dynamic lifting tasks: differences between OpenSim and the AnyBody modelling system

A data-driven approach to classifying manual material handling tasks using markerless motion capture and recurrent neural networks

Cognitive workload assessment during VR forklift training

Three passive arm-support exoskeletons have inconsistent effects on muscle activity, posture, and perceived exertion during diverse simulated pseudo-static overhead nutrunning tasks

A pilot study investigating motor adaptations when learning to walk with a whole-body powered exoskeleton

An Indoor Fall Monitoring System: Robust, Multistatic Radar Sensing and Explainable, Feature-Resonated Deep Neural Network

A passive leg-support exoskeleton adversely affects reactive balance after simulated slips and trips on a treadmill.

Recovering from Laboratory-Induced slips and trips causes high levels of lumbar muscle activity and spine loading

Estimating lumbar spine loading when using back-support exoskeletons in lifting tasks

A novel approach to quantify the assistive torque profiles generated by passive back-support exoskeletons

Task demand and load carriage experience affect gait variability among military cadets

Wearing a back-support exoskeleton impairs single-step balance recovery performance following a forward loss of balance – An exploratory study

Effects of Back-Support Exoskeleton Use on Lower Limb Joint Kinematics and Kinetics During Level Walking

Collaborators (5)

Divya Srinivasan

Jangho Park

Nathan Lau

Aanuoluwapo Ojelade

Sunwook Kim

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