Automatically Evaluating Balance: A Machine Learning Approach

Compared to in-clinic balance training, in-home training is not as effective. This is, in part, due to the lack of feedback from physical therapists (PTs). Here, we analyze the feasibility of using trunk sway data and machine learning (ML) techniques to automatically evaluate balance, providing accu...

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Veröffentlicht in:	arXiv.org 2019-06
Hauptverfasser:	Tian Bao, Klatt, Brooke N, Whitney, Susan L, Sienko, Kathleen H, Wiens, Jenna
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Balance Computer Science - Computers and Society Computer Science - Learning Consultation Feasibility studies Feature extraction Machine learning Model accuracy Ratings Self assessment Statistics - Machine Learning Support vector machines Training
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