Webinar: Estimating Energy Expenditure During Exercise Using Wearable Sensors, Part 1 of 2

Patrick Slade of Stanford University presents a new approach for estimating calories burned during exercise using two inertial measurement units worn on the shank and thigh of one leg. Using a machine learning model, he was able to estimate calories once per step to rapidly capture changes in energy expenditure without physiological signal delays, as is common when making these measurements based on heart rate and respirometry. His approach has approximately 13% error when tested with a physiologically diverse adult population during walking, running, stair climbing, and biking.

This webinar is offered jointly with the Restore Center (https://restore.stanford.edu/), an NIH-funded Medical Rehabilitation Research Resource Network Center at Stanford University.

Watch part 2 of this webinar – a tutorial on estimating energy expenditure: Webinar(Tutorial): Estimating Energy ...

Learn more:
Read the associated publication: https://www.nature.com/articles/s4146...
Try the associated tutorial: https://github.com/stanfordnmbl/mobil...