Proceedings of the 6th International Conference on Applied Engineering, ICAE 2023, 7 November 2023, Batam, Riau islands, Indonesia

Research Article

Motion Recognition Uses Accelerometer and Gyroscope Sensors Using Learning Vector Quantization Method

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  • @INPROCEEDINGS{10.4108/eai.7-11-2023.2342948,
        author={Adlian  Jefiza and Muhammad Arif Fardiansyah and Ika Karlina Laila Nur Suciningtyas and Diono  Diono and Indra  Daulay and Dodi Prima Resda and Fadli  Firdaus and Jhon Hericson Purba and Agus  Kurniawan},
        title={Motion Recognition Uses Accelerometer and Gyroscope Sensors Using Learning Vector Quantization Method},
        proceedings={Proceedings of the 6th International Conference on Applied Engineering, ICAE 2023, 7 November 2023, Batam, Riau islands, Indonesia},
        publisher={EAI},
        proceedings_a={ICAE},
        year={2024},
        month={1},
        keywords={learning vector quantization accelerometer gyroscope arduino nano at mega 328},
        doi={10.4108/eai.7-11-2023.2342948}
    }
    
  • Adlian Jefiza
    Muhammad Arif Fardiansyah
    Ika Karlina Laila Nur Suciningtyas
    Diono Diono
    Indra Daulay
    Dodi Prima Resda
    Fadli Firdaus
    Jhon Hericson Purba
    Agus Kurniawan
    Year: 2024
    Motion Recognition Uses Accelerometer and Gyroscope Sensors Using Learning Vector Quantization Method
    ICAE
    EAI
    DOI: 10.4108/eai.7-11-2023.2342948
Adlian Jefiza1,*, Muhammad Arif Fardiansyah1, Ika Karlina Laila Nur Suciningtyas1, Diono Diono1, Indra Daulay1, Dodi Prima Resda1, Fadli Firdaus1, Jhon Hericson Purba1, Agus Kurniawan1
  • 1: Politeknik Negeri Batam
*Contact email: adlianjefiza@polibatam.ac.id

Abstract

Determining the correct position and orientation in the technical system has an important role. This determination can be made by combining the use of the Accelerometer sensor with the Gyroscope sensor. This position determination will be carried out to determine the form of movement, namely standing, sitting, lying down, and prayer movements in the form of bowing, prostration, and sitting between two prostrations using the orientation of the x, y, and z axes. This determination uses an artificial neural networks method, namely the Learning Vector Quantization (LVQ) method. In order to retrieve data, a device designed consisting of accelerometer and gyroscope sensors that have been installed on the MPU 6050 sensor with a control system using the Arduino Nano AT Mega 328 microcontroller. Data obtained in formed of values processed to know the accuracy level which Learning vector quantization showing 100% for data training and 72% for data testing.