[Opensim-announcement] Virtual Office Hours, Research Summit, Job Opportunities, and Resources for Smartphone-Based Clinical Gait Analysis

[Matthew Petrucci]

Apply to Participate in Virtual Office Hours for Biomechanical Modeling or Machine Learning Research Questions

Application Deadline: April 21, 2023, 5 PM local time

Office Hour Dates: May 8-12, 2023



The Mobilize<http://mobilize.stanford.edu/> and Restore<http://restore.stanford.edu/> centers are pleased to announce they will be holding Virtual Office Hours May 8-12, 2023 to support researchers working with wearable sensors, video technology, and other modalities in rehabilitation research. There will be three tracks: 1) OpenCap<http://opencap.ai/> or other video-based analysis of movement 2) OpenSim<https://opensim.stanford.edu/> or other questions about biomechanical modeling, including via IMUs and 3) machine learning with time series or other movement/rehab data. 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. They welcome and encourage individuals to apply as a team, if relevant. Application deadline: April 21, 2023, 5 PM local time. Learn more and apply<https://restore.stanford.edu/2023/03/22/apply-to-participate-in-virtual-office-hours-for-biomechanical-modeling-or-machine-learning-research-questions-8/>



Research Summit: Models & Sensors to Measure Real-World Muscle Function & Movement

Sunday, June 18, 2023, Canmore, AB, Canada

ABSTRACT DEADLINE: April 3, 2023



The Restore<http://restore.stanford.edu/> and Mobilize<http://mobilize.stanford.edu/> Centers at Stanford University and C-STAR <https://www.sralab.org/cstar> at Shirley Ryan Ability Lab invite you to a research summit, “Models & Sensors to Measure Real-World Muscle Function & Movement.” Hear about late-breaking research, along with available tools, frameworks, and best practices for applying machine learning and wearable sensing to study real world movement. Submit an abstract to present your research. We encourage you to also submit an abstract and attend the Rocky Mountain Muscle Symposium<https://rmms-conference.org/> immediately after. Learn more about the summit<https://rmms-conference.org/pre-conference-summit> | Register<https://www.sralab.org/academy/person-learning/61823-models-sensors-measure-real-world-muscle-function-movement-rocky-mountain-muscle-symposium-pre> | Submit an abstract<https://competitions.fsm.northwestern.edu/grants/rmmssummit><https://rmms-conference.org/pre-conference-summit>



Access Resources from Webinar on Clinical Gait Analysis using Video-Based Pose Estimation



Thank you to everyone who joined the Mobilize<http://mobilize.stanford.edu/> and Restore<http://restore.stanford.edu/> Centers webinar featuring Ryan Roemmich and Jan Stenum from John Hopkins University. They presented the software they have developed to perform gait analysis in multiple clinical populations using smartphone videos. They discussed the validation of their software; demonstrated the ability to capture clinically relevant, condition-specific parameters; and guided the audience through the analysis to obtain these measures. Recordings and resources from the webinar are now available.

View research presentation<https://youtu.be/sfruckxITq0> | View tutorial<https://youtu.be/9ZXNCVu-U_M>

View the preprint<https://www.medrxiv.org/content/10.1101/2023.01.26.23285007v1><https://www.medrxiv.org/content/10.1101/2023.01.26.23285007v1> | Access tutorial analysis codes to obtain gait metrics<https://github.com/janstenum/GaitAnalysis-PoseEstimation/tree/Multiple-Perspectives>




Open Positions in Human Performance - Stanford University



The Human Performance Lab directed by Scott Delp is seeking to fill two positions:  (1) a postdoctoral researcher and (2) a staff research engineer. The researchers in these positions will help develop novel tools for measuring human movement and conduct world-class research in projects related to human performance. Candidates for both positions should have backgrounds in computer science, mechanical engineering, neuroscience, and/or biomedical engineering. Learn more about each of the openings:  Postdoctoral Fellowship<https://humanperformance.stanford.edu/news/opening-for-postdoctoral-fellowship-at-stanford-university-human-performance-laboratory/> | Research engineer<https://careersearch.stanford.edu/jobs/human-performance-lab-research-engineer-20794>

<https://profiles.stanford.edu/matthew-petrucci>



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