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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.

Members of the Restore and Mobilize Centers at Stanford and C-STAR at the Shirley Ryan AbilityLab will be leading a workshop entitled “Video-Based Movement Analysis for the Clinic and Community.” The symposia will be focused on video based tools such as: Human pose estimation and other computer vision algorithms OpenCap Read more…

We are pleased to announce we will be holding Virtual Office Hours to support researchers working with wearable sensors, video technology, and other modalities in rehabilitation research. These office hours are offered as part of the training efforts of our Restore and Mobilize Centers. We will have three tracks for Read more…

We are pleased to announce we will be holding Virtual Office Hours to support researchers working with wearable sensors, video technology, and other modalities in rehabilitation research. These office hours are offered as part of the training efforts of our Restore and Mobilize Centers. We will have three tracks for Read more…

The Restore and Mobilize Centers at Stanford University and C-STAR at Shirley Ryan Ability Lab have organized a research summit, “Models & Sensors to Measure Real-World Muscle Function & Movement.” The goal of the meeting is to showcase late-breaking research along with available tools, frameworks, and best practices for applying Read more…

In this introductory course co-taught by C-STAR and the Restore Center, we will take a practical approach to understand how machine learning and sensors can be applied in the rehabilitation field, pitfalls to avoid, how to get started and how these tools can create reliable digital biomarkers. The course will be on-line on May 17, 2023, and is eligible for CME credit.

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.

We are pleased to announce we will be holding Virtual Office Hours to support researchers working with wearable sensors, video technology, and other modalities in rehabilitation research. These office hours are offered as part of the training efforts of our Restore and Mobilize Centers. We will have three tracks for Read more…