Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Mike Catt

Showing results (1-10 of 4) with videos related to

Pageof 1
Sort By:
Medicine and Science in Sports and Exercise|May 30, 2014
Comparability of measured acceleration from accelerometry-based activity monitorsAlex V Rowlands, FranÇois Fraysse, Mike Catt, et al.
Sensors (Basel, Switzerland)|October 20, 2019
Towards a Portable Model to Discriminate Activity Clusters from Accelerometer DataPetra Jones, Evgeny M Mirkes, Tom Yates, et al.
Journal of Biomedical Informatics|March 1, 2020
FilterK: A new outlier detection method for k-means clustering of physical activityPetra J Jones, Matthew K James, Melanie J Davies, et al.
Gait & Posture|August 26, 2021
Feature selection for unsupervised machine learning of accelerometer data physical activity clusters - A systematic reviewPetra J Jones, Mike Catt, Melanie J Davies, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Medicine and Science in Sports and Exercise|May 30, 2014
Comparability of measured acceleration from accelerometry-based activity monitorsAlex V Rowlands, FranÇois Fraysse, Mike Catt, et al.
Sensors (Basel, Switzerland)|October 20, 2019
Towards a Portable Model to Discriminate Activity Clusters from Accelerometer DataPetra Jones, Evgeny M Mirkes, Tom Yates, et al.
Journal of Biomedical Informatics|March 1, 2020
FilterK: A new outlier detection method for k-means clustering of physical activityPetra J Jones, Matthew K James, Melanie J Davies, et al.
Gait & Posture|August 26, 2021
Feature selection for unsupervised machine learning of accelerometer data physical activity clusters - A systematic reviewPetra J Jones, Mike Catt, Melanie J Davies, et al.
Pageof 1