In the first part of this webinar, Dr. Boswell will present 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 will share how to use the Sit2Stand tool for your own data collection and implement their processing and analysis pipelines.
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 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 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 Read more…
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.
In the first half of the webinar, Dr. Selinger will show that free-living runners, most often out for a jog and not a race, prefer a particular running speed largely independent of run distance. Moreover, these preferred speeds are remarkably consistent with the objective of minimizing energy expenditure. These findings offer insight into the biological objectives that shape human running preferences in the real world—an important consideration when examining human ecology or creating training strategies to improve performance and prevent injury.
Scott Uhlrich and other researchers from the Mobilize Center used computer simulations of a “digital human” and real-time feedback to teach people to walk in a way that decreased the stress on their knees. The results could change how we 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 Read more…