In this webinar, Dr. Lee and Dr. Clouthier will demonstrate how incorporating joint geometry into musculoskeletal models can reveal why certain bone shapes increase injury risk. They will also lead an interactive tutorial on using statistical shape models to map soft tissue attachment sites across bone shapes for musculoskeletal simulation.
In this webinar, Dr. Lee and Dr. Clouthier will demonstrate how incorporating joint geometry into musculoskeletal models can reveal why certain bone shapes increase injury risk. They will also lead an interactive tutorial on using statistical shape models to map soft tissue attachment sites across bone shapes for musculoskeletal simulation.
In this webinar, Dr. Cotton will discuss his lab’s recent advances in markerless motion capture that address these needs using both single-camera and multiview video approaches. He will also lead an interactive tutorial on fitting biomechanics from a sample monocular video using his algorithms.
In this webinar, Dr. Gurchiek will present a recently published study that bridges the gap in our understanding of hamstring injuries by leveraging a unique and more realistic dataset than those used in previous research.
In the first half of the webinar, Dr. Maier will present her shoulder rhythm personalization approach and the results of her study. In the second half of the webinar, Dr. Maier will give a tutorial explaining how to use the personalization approach for your own data.
In the first half of the webinar, Ms. Clancy will present her OpenSim modeling pipeline for cycling and the results of her study. In the second half, she will discuss best practices for and share lessons learned from working with OpenSim Moco, including strategies for refining Moco optimization problems.
In the first part of this webinar, Mr. Werling will present the AddBiomechanics web platform and show how it can fit into your lab’s workflow. In the second half of the webinar, he will walk participants through a hands-on tutorial of uploading and processing motion capture data, provide best practices and troubleshooting tips when using AddBiomechanics, and provide an easy “getting started” kit for data sharing compliance.
In the first part of this webinar, Dr. Boswell presented their web application to capture and automatically analyze self-collected at-home videos of the five-repetition sit-to-stand test. In the second part of this webinar, Dr. Boswell shared how to use the Sit2Stand tool for your own data collection and implement their processing and analysis pipelines.
In the first half of the webinar, Dr. Roemmich will demonstrate the ability to perform quantitative gait analyses in multiple clinical populations using videos that can be recorded simply using household devices. In the tutorial during the second half of the webinar, Dr. Stenum will walk the audience through all the steps needed to execute this workflow for video-based clinical gait analysis.
In the first half of the webinar, Drs. Uhlrich and Falisse will present their validation of OpenCap. They will demonstrate how OpenCap accurately predicts dynamic measures, like muscle activations, joint loads, and joint moments, which can be used to screen for disease risk, evaluate intervention efficacy, assess between-group movement differences, and inform rehabilitation decisions. In the tutorial during the second half of the webinar, Drs. Uhlrich and Falisse will share how to set up a collection, access kinematic measures, generate dynamic simulations, and understand the strengths and limitations of OpenCap.