• Title: OpenSense: Analyzing Motion with Inertial Measurement Unit (IMU) Data
  • Speaker: Carmichael Ong, PhD, Stanford University
  • Time: Tuesday, Nov. 16, 2021 at 10:00 AM Pacific Time

This event has passed. View the recorded talk and additional resources below.


Measurements of movement biomechanics, such as joint angles, can provide insights for many applications, such as understanding movement pathologies or improving human performance. While measuring movement been limited to expensive laboratory setups, the recent proliferation of devices with inertial measurement units (IMUs) opens the door for measurements out of the lab. OpenSense is a new workflow added to the OpenSim musculoskeletal modeling software that provides new tools to use IMU data to analyze motion.

In the first part of this webinar, we will present an overview of OpenSense, a workflow to perform inverse kinematics (IK) with IMUs. We will also present a validation study that compares and contrasts the kinematics of walking and other tasks when using a traditional marker-based IK workflow and an IMU-based IK workflow. In the second part of the webinar, we will teach participants how to use OpenSense with an example using gait data.

Additional resources

Responses to many of the questions that were asked, including those that we may not have been able to respond to during the webinar, are available on the OpenSense FAQ.

Confluence documentation and User’s Guide provide more information on using OpenSense. If you have additional questions on using OpenSense, you can post your question on the OpenSim discussion forum.

We are also hosting another Virtual Office Hour event next month, where we can address questions about OpenSense one-on-one. Visit our website to learn more and apply to participate.

Read more about the research presented in the webinar via these publications:

Carmichael Ong, PhD

Research Engineer

Carmichael Ong is a Research Engineer with the Mobilize and Restore Centers at Stanford University and is interested in leveraging wearable sensors and other modalities to improve rehabilitation research and outcomes. He obtained his PhD at Stanford University in Bioengineering and developed simulations that predict human movement to gain insights into gait pathologies and to assist in exoskeleton design.

Categories: EventsNews