Comparison of Data Classification Results in Serious Gaming for Rehabilitation of Rheumatoid Arthritis...European Federation for Medical Informatics (EFMI) Special Topic Conference, October 25-27, 2023, Turin, Italy.

Rheumatoid arthritis is a common disease which affects the joints of the wrist, fingers, feet and in the end the daily activities. Nowadays, gestures and virtual reality are used in many activities supporting recovery, games, learning as technology is present more and more in different fields. This...

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Published in:Studies in Health Technology & Informatics Vol. 309; pp. 63 - 68
Main Authors: VARGA, Gabriela, STOICU-TIVADAR, Lăcrămioara, NICOLA, Stelian
Format: pictorial proceedings research tables/charts Journal Article
Published: Sage Publications Inc. 2023
Online Access:View this record in EBSCOhost
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      issn: 09269630
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      dt: 2023
      vid: 309
      pid: 344
      pub: Sage Publications Inc.
      place: Thousand Oaks, California
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        10.3233/SHTI230740
        173212654
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        atl: Comparison of Data Classification Results in Serious Gaming for Rehabilitation of Rheumatoid Arthritis...European Federation for Medical Informatics (EFMI) Special Topic Conference, October 25-27, 2023, Turin, Italy.
      aug:
        au:
          VARGA, Gabriela
          STOICU-TIVADAR, Lăcrămioara
          NICOLA, Stelian
        affil: Politehnica University Timișoara, Department of Automation and Applied Informatics, 2, Vasile Pârvan Blvd., 300223, Timișoara, România
      sug:
        subj:
          Exergames
          Arthritis, Rheumatoid Rehabilitation
          Hand Physiopathology
          Movement Evaluation
          Motion Analysis Systems
          Machine Learning
          Algorithms
          Random Forest
          Models, Statistical
          Congresses and Conferences Italy
          Italy
          Human
          Comparative Studies
          Rehabilitation Patients
          Sensitivity and Specificity
          Precision
          Descriptive Statistics
          Models, Structural
          Data Analysis Software
      ab: Rheumatoid arthritis is a common disease which affects the joints of the wrist, fingers, feet and in the end the daily activities. Nowadays, gestures and virtual reality are used in many activities supporting recovery, games, learning as technology is present more and more in different fields. This paper presents results related to the grip movement detected by a Leap Motion device using binary classification and machine learning algorithms. We used 2 models to compare the results: Naïve Bayes and Random Forest Classifier. The metrics for comparison were: accuracy, precision, recall and f1-score. Also, we create a confusion matrix for a clear visualization of the results. We used 5000 data to train the algorithm and 1500 data to test. The accuracy and the precision were bigger than 97% in all the cases.
      pubtype: Academic Journal
      doctype:
        pictorial
        proceedings
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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