Fall Prediction Model for a Reconfigurable Mobile Support Robot

This work presents a fall prediction model to be used in conjunction with a reconfigurable robot for elderly mobility support. The fall prediction model is based on a Long Short Term Memory network. A predicted fall will inform a reconfigurable robot to expand its base of support to avoid possible t...

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Bibliographic Details
Main Author: Kamienski, Emily
Other Authors: Asada, Haruhiko Harry
Format: Thesis
Published: Massachusetts Institute of Technology 2022
Online Access:https://hdl.handle.net/1721.1/139039