Classification of Standing and Walking States Using Ground Reaction Forces

Title
Classification of Standing and Walking States Using Ground Reaction Forces
Authors
김충현박지수구상모
Keywords
m-health; activities of daily living; gait analysis; wearable device; insole; force sensing resistors; ground reaction force; center of force; waveform length
Issue Date
2021-03
Publisher
Sensors
Citation
VOL 21-19
Abstract
The operation of wearable robots, such as gait rehabilitation robots, requires real-time classification of the standing or walking state of the wearer. This report explains a technique that measures the ground reaction force (GRF) using an insole device equipped with force sensing resistors, and de-tects whether the insole wearer is standing or walking based on the measured results. The technique developed in the present study uses the waveform length that represents the sum of the changes in the center of pressure within an arbitrary time window as the determining factor, and applies this factor to a conventional threshold method and an artificial neural network (ANN) model for clas-sification of the standing and walking states. The results showed that applying the newly developed technique could significantly reduce classification errors due to shuffling movements of the patient, typically noticed in the conventional threshold method using GRF, i.e., real-time classification of the standing and walking states is possible in the ANN model. The insole device used in the present study can be applied not only to gait analysis systems used in wearable robot operations, but also as a device for remotely monitoring the activities of daily living of the wearer.
URI
http://pubs.kist.re.kr/handle/201004/72968
ISSN
1424-8220
Appears in Collections:
KIST Publication > Article
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