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Foot Recognition Using Deep Learning for Knee Rehabilitation

Duangsoithong, Rakkrit and Jaruenpunyasak, Jermphiphut and Garcia Seco De Herrera, Alba (2019) Foot Recognition Using Deep Learning for Knee Rehabilitation. In: International Conference on Computer Vision and Image Processing (ICCVIP), 2019-07-09 - 2019-07-10.

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The use of foot recognition can be applied in many medical fields such as the gait pattern analysis and the knee exercises of patients in rehabilitation. Generally, a camera-based foot recognition system is intended to capture a patient image in a controlled room and background to recognize the foot in the limited views. However, this system can be inconvenient to monitor the knee exercises at home. In order to overcome these problems, this paper proposes to use the deep learning method using Convolutional Neural Networks (CNNs) for foot recognition. The results are compared with the traditional classification method using LBP and HOG features with kNN and SVM classifiers. According to the results, deep learning method provides better accuracy but with higher complexity to recognize the foot images from online databases than the traditional classification method.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: Published proceedings: _not provided_
Uncontrolled Keywords: Convolutional neural networks; deep learning; foot recognition; knee rehabilitation.
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 27 Jan 2020 11:25
Last Modified: 23 Sep 2022 19:37

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