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hits: 307
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  • OpenSim Moco: Musculoskelet... OpenSim Moco: Musculoskeletal optimal control
    Dembia, Christopher L; Bianco, Nicholas A; Falisse, Antoine ... PLOS computational biology/PLoS computational biology, 12/2020, Volume: 16, Issue: 12
    Journal Article
    Peer reviewed
    Open access

    Musculoskeletal simulations are used in many different applications, ranging from the design of wearable robots that interact with humans to the analysis of patients with impaired movement. Here, we ...
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  • OpenSim: Simulating musculo... OpenSim: Simulating musculoskeletal dynamics and neuromuscular control to study human and animal movement
    Seth, Ajay; Hicks, Jennifer L; Uchida, Thomas K ... PLOS computational biology/PLoS computational biology, 07/2018, Volume: 14, Issue: 7
    Journal Article
    Peer reviewed
    Open access

    Movement is fundamental to human and animal life, emerging through interaction of complex neural, muscular, and skeletal systems. Study of movement draws from and contributes to diverse fields, ...
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  • Predicting gait adaptations... Predicting gait adaptations due to ankle plantarflexor muscle weakness and contracture using physics-based musculoskeletal simulations
    Ong, Carmichael F; Geijtenbeek, Thomas; Hicks, Jennifer L ... PLOS computational biology/PLoS computational biology, 10/2019, Volume: 15, Issue: 10
    Journal Article
    Peer reviewed
    Open access

    Deficits in the ankle plantarflexor muscles, such as weakness and contracture, occur commonly in conditions such as cerebral palsy, stroke, muscular dystrophy, Charcot-Marie-Tooth disease, and ...
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  • Large-scale physical activi... Large-scale physical activity data reveal worldwide activity inequality
    Althoff, Tim; Sosič, Rok; Hicks, Jennifer L ... Nature, 07/2017, Volume: 547, Issue: 7663
    Journal Article
    Peer reviewed
    Open access

    To be able to curb the global pandemic of physical inactivity and the associated 5.3 million deaths per year, we need to understand the basic principles that govern physical activity. However, there ...
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  • Deep neural networks enable... Deep neural networks enable quantitative movement analysis using single-camera videos
    Kidziński, Łukasz; Yang, Bryan; Hicks, Jennifer L ... Nature communications, 08/2020, Volume: 11, Issue: 1
    Journal Article
    Peer reviewed
    Open access

    Many neurological and musculoskeletal diseases impair movement, which limits people's function and social participation. Quantitative assessment of motion is critical to medical decision-making but ...
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  • Simulating ideal assistive ... Simulating ideal assistive devices to reduce the metabolic cost of walking with heavy loads
    Dembia, Christopher L; Silder, Amy; Uchida, Thomas K ... PloS one, 07/2017, Volume: 12, Issue: 7
    Journal Article
    Peer reviewed
    Open access

    Wearable robotic devices can restore and enhance mobility. There is growing interest in designing devices that reduce the metabolic cost of walking; however, designers lack guidelines for which ...
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  • An Open-Source and Wearable... An Open-Source and Wearable System for Measuring 3D Human Motion in Real-Time
    Slade, Patrick; Habib, Ayman; Hicks, Jennifer L. ... IEEE transactions on bio-medical engineering/IEEE transactions on biomedical engineering, 02/2022, Volume: 69, Issue: 2
    Journal Article
    Peer reviewed
    Open access

    Objective: Analyzing human motion is essential for diagnosing movement disorders and guiding rehabilitation for conditions like osteoarthritis, stroke, and Parkinson's disease. Optical motion capture ...
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  • Predictive simulation gener... Predictive simulation generates human adaptations during loaded and inclined walking
    Dorn, Tim W; Wang, Jack M; Hicks, Jennifer L ... PloS one, 04/2015, Volume: 10, Issue: 4
    Journal Article
    Peer reviewed
    Open access

    Predictive simulation is a powerful approach for analyzing human locomotion. Unlike techniques that track experimental data, predictive simulations synthesize gaits by minimizing a high-level ...
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  • Machine learning in human m... Machine learning in human movement biomechanics: Best practices, common pitfalls, and new opportunities
    Halilaj, Eni; Rajagopal, Apoorva; Fiterau, Madalina ... Journal of biomechanics, 11/2018, Volume: 81
    Journal Article
    Peer reviewed
    Open access

    Traditional laboratory experiments, rehabilitation clinics, and wearable sensors offer biomechanists a wealth of data on healthy and pathological movement. To harness the power of these data and make ...
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  • Simulating Ideal Assistive ... Simulating Ideal Assistive Devices to Reduce the Metabolic Cost of Running
    Uchida, Thomas K; Seth, Ajay; Pouya, Soha ... PloS one, 09/2016, Volume: 11, Issue: 9
    Journal Article
    Peer reviewed
    Open access

    Tools have been used for millions of years to augment the capabilities of the human body, allowing us to accomplish tasks that would otherwise be difficult or impossible. Powered exoskeletons and ...
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