Vol.41, No.1, 2022, pp.187-196, doi:10.32604/csse.2022.020185
OPEN ACCESS
ARTICLE
Classification of Foot Pressure Images Using Machine Learning Algorithm
  • P. Ramya1, B. Padmapriya2, S. Poornachandra3
1 Department of Electronics and Communication Engineering, SNS College of Engineering, Coimbatore, 641107, Tamil Nadu, India
2 Department of Biomedical Engineering, PSG College of Technology, Coimbatore, 641004, Tamil Nadu, India
3 Department of Electronics and Communication Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, 641062, Tamil Nadu, India
Received 13 May 2021; Accepted 21 June 2021; Issue published 08 October 2021
Abstract
Arthritis is an acute systemic disease of a joint accompanied by pain. In developed countries, it mainly causes disability among people over 50 years of age. Rheumatoid Arthritis is a type of arthritis that occurs commonly among elders. The incidence of arthritis is higher in females than in males. There is no permanent diagnosis method for arthritis, but if it was identified in the early stages based on the foot pressure, it can be diagnosed before attaining the critical stage of Rheumatoid Arthritis. The analysis and study of arthritis patients were done using design thinking methodology. Design thinking is a problem-solving methodology that is used to find a solution for the identification of the early stage of arthritis. This process consists of five stages follows Empathy, Define, Ideate, Prototype, and Testing. To define the problem statement, the Empathy was done with the arthritis patients to know the difficulties faced by them. This paper proposes a measurement technique of early measurement of arthritis using a non-invasive technique. It helps us to detect arthritis using a foot pressure pad that was designed with piezoresistive material and the feature classification was done using Weka.
Keywords
Piezoresistive material; velostat; carbon loaded piezo resistive film; machine learning algorithm; SVM; MLP classification; design thinking
Cite This Article
Ramya, P., Padmapriya, B., Poornachandra, S. (2022). Classification of Foot Pressure Images Using Machine Learning Algorithm. Computer Systems Science and Engineering, 41(1), 187–196.
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