TITLE:
Gait-Ground Reaction Force Sensors Selection Based on ROC Curve Evaluation
AUTHORS:
Rami Alkhatib, Mohamad Diab, Bassam Moslem, Christophe Corbier, Mohamed El Badaoui
KEYWORDS:
Gait Analysis, ROC Analysis, Sensor Selection, Gait Ground Reaction Force (GRF)
JOURNAL NAME:
Journal of Computer and Communications,
Vol.3 No.3,
March
17,
2015
ABSTRACT:
Classification of normal gait from
pathological gait as then can be used as indicator of falling among subjects
requires the correct choice of sensor location in the insole. Such a flexi
force- sensor can be used underneath foot to measure vertical ground reaction
force. To start with, the most relevant information (parameters) that can characterize
the recorded signals are extracted from the vertical ground reaction force
signals. Then Receiver Operating Characteristic curve is used to evaluate the
features upon 8 sensors underneath each foot located at different locations. To
confirm results obtained, features are passed upon a chosen classifier, in this
paper K-nearest neighbors algorithm is chosen. Results show that the sensor
located at the inner arch of the sole of the foot (i.e. at the mid foot) holds
the most relevant information needed for better classification compared to
other sensors.