Apply to Participate in Virtual Office Hours for Biomechanical Modeling or Machine Learning Research Questions Application deadline: February 4, 2022, 5 PM local time We are pleased to announce we will be holding Virtual Office Hours on February 18-24, 2022, to support researchers working with wearable sensors, video technology, and other modalities in rehabilitation research. We will have two tracks: 1) Biomechanical modeling with OpenSim<https://opensim.stanford.edu/> and IMUs<https://simtk-confluence.stanford.edu/display/OpenSim/OpenSense+-+Kinematics+with+IMU+Data> or video, and 2) Machine learning, including video analysis. All phases of a research project are supported, such as formulating a research question, choosing and planning appropriate methods, and addressing issues with carrying out the study. We welcome and encourage individuals to apply as a team, if relevant. Learn more and apply<https://restore.stanford.edu/2022/01/11/apply-to-participate-in-virtual-office-hours-for-biomechanical-modeling-or-machine-learning-research-questions-4/> Access Resources from Webinar - OpenSense: Analyzing Motion with Inertial Measurement Unit (IMU) Data Thank you to everyone who joined us for the Mobilize and Restore Center webinar series featuring Carmichael Ong from Stanford University who presented "OpenSense: Analyzing Motion with Inertial Measurement Unit (IMU) Data". The recordings of the research presentation<https://youtu.be/ewuvpB2QUf8> and the tutorial<https://youtu.be/qlyU-pgA1ec> are now available on our YouTube channel. Read publication on O<https://pubs.rsna.org/doi/full/10.1148/ryai.2020190065>penSense<https://www.biorxiv.org/content/10.1101/2021.07.01.450788v1> | Read publication on an open-source and wearable system for measuring 3D human motion in real-time<https://pubmed.ncbi.nlm.nih.gov/34383640/> | Download OpenSense<https://simtk-confluence.stanford.edu:8443/display/OpenSim/OpenSense+-+Kinematics+with+IMU+Data> | See the full list of resources<https://mobilize.stanford.edu/webinar-opensense-analyzing-motion-with-inertial-measurement-unit-imu-data/> Multi-segment Foot Model Validated Using Biplanar Videoradiography Past OpenSim Visiting Scholar Jayishni Maharaj and colleagues have developed a multi-segment foot model with seven degrees-of-freedom that results in more accurate kinematics than a conventional six-degree-of-freedom model. Comparisons were made against biplanar videoradiography measurements for walking and running. By utilizing joint constraints, the model also enables the quantification of motion in the subtalar joint. A description of the model and its validation were published in Computer Methods in Biomechanics and Biomedical Engineering. Read article<https://www.tandfonline.com/doi/abs/10.1080/10255842.2021.1968844> | Download model<https://simtk.org/projects/footankle_model> -- Joy P. Ku, PhD Deputy Director | Wu Tsai Human Performance Alliance at Stanford<https://humanperformance.stanford.edu/> Director of Education & Communications | Mobilize Center<https://mobilize.stanford.edu/> & Restore Center<https://restore.stanford.edu/> Stanford University 650.736.8434 | joyku@stanford.edu Supporting open-source biocomputational resources | OpenSim<https://opensim.stanford.edu/> & SimTK<https://simtk.org/>