Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications

• Main Authors: Shawen, Nicholas (Author), Lonini, Luca (Author), Mummidisetty, Chaithanya Krishna (Author), Shparii, Ilona (Author), Albert, Mark V (Author), Kording, Konrad (Author), Jayaraman, Arun (Author)
• Format: Book
• Published: JMIR Publications, 2017-10-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundAutomatically detecting falls with mobile phones provides an opportunity for rapid response to injuries and better knowledge of what precipitated the fall and its consequences. This is beneficial for populations that are prone to falling, such as people with lower limb amputations. Prior s...