The BWM is “a nontechnical, labor-intensive, first generation method,” Suminski and team note in their present work, which is running in JMIR Research Protocols. “Advancing the BWM would contribute significantly to our understanding of physical activity behavior.”
The new work will create a second-generation BWM that brings in a wearable video device—specifically eyeglasses fitted with a high-definition video camera—and applies machine learning to automatically extract and process information on physical activities.
To test the improved methodology, the researchers will have two trained observers walk together along 1,000-foot sections of sidewalks and streets. One will wear the video device while the other uses conventional BWM notations to tally standers, sitters, walkers, bicyclists and runners.
Credit: Google News