Rami Alkhatib^1,2, Mohamad Diab², Bassam Moslem², Christophe Corbier¹, Mohamed El Badaoui¹

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¹ Laboratoire LASPI, Université Jean-Monnet, Roanne, France.
² Electrical and Computer Engineering Department, College of Engineering, Rafik Hariri University, Damour, Lebanon.
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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.

Keywords: Gait Analysis, ROC Analysis, Sensor Selection, Gait Ground Reaction Force (GRF)

Cite this paper: Alkhatib, R. , Diab, M. , Moslem, B. , Corbier, C. , Badaoui, M. (2015) Gait-Ground Reaction Force Sensors Selection Based on ROC Curve Evaluation. Journal of Computer and Communications, 3, 13-19. doi: 10.4236/jcc.2015.33003.

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