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The Mobilize Center and Restore Center at Stanford University invite you to join our next webinar, featuring Scott Uhlrich and Antoine Falisse from Stanford University.
DETAILS
Title: OpenCap – Analyzing 3D Human Movement Dynamics using Smartphone Videos
Speakers: Scott Uhlrich, PhD & Antoine Falisse, PhD, Stanford University
Time: Tuesday, October 25th, 2022 at 9:00 AM Pacific Time
Registration: Click here to register
ABSTRACT
Measures of human movement and the forces that underlie it can predict injuries and inform rehabilitation. Analyzing these quantities in a motion capture laboratory is time intensive and costly, limiting high-fidelity biomechanical analysis to small-scale research studies. Scalable tools for analyzing human movement dynamics are needed. To address this, Drs. Uhlrich and Falisse 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 measures these quantities 25 times faster and at less than 1% of the cost of laboratory-based motion capture.
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.
DETAILS
Title: OpenCap – Analyzing 3D Human Movement Dynamics using Smartphone Videos
Speakers: Scott Uhlrich, PhD & Antoine Falisse, PhD, Stanford University
Time: Tuesday, October 25th, 2022 at 9:00 AM Pacific Time
Registration: Click here to register
ABSTRACT
Measures of human movement and the forces that underlie it can predict injuries and inform rehabilitation. Analyzing these quantities in a motion capture laboratory is time intensive and costly, limiting high-fidelity biomechanical analysis to small-scale research studies. Scalable tools for analyzing human movement dynamics are needed. To address this, Drs. Uhlrich and Falisse 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 measures these quantities 25 times faster and at less than 1% of the cost of laboratory-based motion capture.
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.