Musculoskeletal simulations have enabled researchers to gain insight into tasks like walking and running, but similar pipelines for cycling do not exist. Caitlin Clancy and a team of Mobilize Center researchers at Stanford University have addressed that gap–they developed a muscle-driven simulation pipeline for cycling and explored different optimization objectives. Read more
The Wu Tsai Human Performance Alliance, Restore Center, and Mobilize Center are now accepting applications for a three-day, project-based workshop on the Stanford University campus. This workshop will take place March 11-13, 2024 and is intended for researchers who are advanced users of our software tools, including OpenSim, OpenSim Moco, OpenSense, Sit2Stand, and OpenCap. Advanced users include those who are applying Read more
Drs. Scott Uhlrich, Antoine Falisse, and Lukasz Kidzinski, along with other Mobilize Center researchers at Stanford have developed OpenCap, a freely available, cloud-based tool that measures both human movement kinematics (i.e., joint angles) and kinetics (e.g., muscle activations, ground reaction forces, and joint loading) using two smartphones. OpenCap enables researchers Read more
Exotendon assistive devices have been shown to reduce the rate of energy expenditure during running. Jon Stingel and a team of Mobilize Center researchers at Stanford University wanted to better understand the muscle-level changes that contributed to these cost savings. The team created a musculoskeletal simulation framework that revealed the Read more
Members of the Restore and Mobilize Centers at Stanford and C-STAR at the Shirley Ryan AbilityLab will be leading a symposium entitled “Video-Based Movement Analysis for the Clinic and Community.” The symposium 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
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.
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.