z-logo
open-access-imgOpen Access
Addendum of: Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications
Author(s) -
Nicholas Shawen,
Luca Lonini,
Chaithanya K. Mummidisetty,
Ilona Shparii,
Mark V. Albert,
Konrad P. Körding,
Arun Jayaraman
Publication year - 2017
Publication title -
jmir mhealth and uhealth
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.356
H-Index - 50
ISSN - 2291-5222
DOI - 10.2196/mhealth.9177
Subject(s) - mhealth , robustness (evolution) , addendum , computer science , mobile phone , artificial intelligence , simulation , human–computer interaction , computer vision , machine learning , physical medicine and rehabilitation , medicine , telecommunications , psychological intervention , nursing , law , political science , chemistry , gene , biochemistry

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom