Our online webinars highlight the latest research on mobile technology and machine learning for biomechanics and movement research. They also include tips and tricks for incorporating these technologies into your own research.
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Musculoskeletal Simulations and Experimental Data of Cycling
Caitlin Clancy, Stanford University
Wednesday, April 17, 2024 at 9:00 AM PT
AddBiomechanics – Lowering the Barriers to Musculoskeletal Modeling and Large-Scale Discoveries in Biomechanics
Keenon Werling, Stanford University
Wednesday, September 20, 2023 at 9:00 AM PT
Sit2Stand – Assessing Health and Mobility from Smartphone Videos
Melissa Boswell, PhD, Stanford University
Wednesday, June 21, 2023 at 9:00 AM PT
Clinical Gait Analysis using Video-Based Pose Estimation: Multiple Perspectives, Clinical Populations, and Measuring Change
Ryan Roemmich, PhD, & Jan Stenum, PhD, Kennedy Krieger Institute and John Hopkins University
Wednesday, March 8, 2023 at 9:00 AM PT
OpenCap – Analyzing 3D Human Movement Dynamics using Smartphone Videos
Scott Uhlrich, PhD, & Antoine Falisse, PhD, Stanford University
Tuesday, October 25, 2022 at 9:00 AM PT
Energetics and Big Data Approach Explain Ecological Running Speeds
Jess Selinger, PhD, Queens University
Wednesday, August 31, 2022 at 9:00 AM PT
Estimating Energy Expenditure During Exercise Using Wearable Sensors
Patrick Slade, PhD, Stanford University
Wednesday, May 4, 2022 at 9:00 AM PT
OpenSense: Analyzing Motion with Inertial Measurement Unit (IMU) Data
Carmichael Ong, PhD, Stanford University
Tuesday, November 16, 2021 at 10:00 AM PT
Accelerating Image-Based Knee Osteoarthritis Research Using Deep Learning: Research Examples and Best Practices
Kevin Thomas, Stanford University
Tuesday, August 17, 2021 at 10:00 AM PT
Quantitative Movement Analysis Using Single-camera Videos
Łukasz Kidziński, PhD, Stanford University
Tuesday, February 9, 2021 at 10:00AM PT