Our tools and training help researchers produce insights from wearables, video, medical images, and other data sources

Software for Biomechanical Modeling and Machine Learning

Our open-source tools enable individuals to easily incorporate our methods into their research

Data Sharing Communities

We provide infrastructure and personnel to create data collections and communities to advance movement research and method development

Training Opportunities

Our webinars, workshops, and symposia provide knowledge, skills, and networking opportunities for both novices and experts

A Biomedical Technology Resource Center funded by the National Institutes of Health and based at Stanford University

Research Highlights

Our collaborating projects drive the development of our software tools. See all projects.
Tishya Wren

Tishya Wren

Associate Professor of Research Surgery, USC Investigator, Children's Hospital Los Angeles

Our collaboration with Dr. Wren will result in methods for computing bone loading and muscle forces from wearable sensors, which are validated against current gold standard approaches. She will use this technology in her study of ambulatory individuals with cerebral palsy.

Steve Collins

Steve Collins

Associate Professor of Mechanical Engineering Stanford University

We are collaborating with Dr. Collins to develop methods to compute metabolic energy costs from wearable sensors. These methods will be validated against current gold standards and will aid his work in optimizing assistance strategies for exoskeletons.

Helen Bronte-Stewart

Helen Bronte-Stewart

Professor of Neurology and Neurological Sciences Stanford University

In collaboration with Dr. Bronte-Stewart, we are developing machine learning models to identify freezing of gait events from inertial measurement sensors and neural data in patients with Parkinson's Disease both in the lab and in the home setting.

News & Events

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.@StanfordCDH says its first-ever Landscape Report is designed to promote collaboration & aims to leverage
@Stanford's collective power to help shape the future of #digitalhealth. Download the publication here: https://bit.ly/2K96tJE

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