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This research attempted to classify 15 types of gestures to communicate between normal people and deaf-mute individuals by implementing an Android-based gesture recognition system. The gesture recognition system was developed using an ESP32 microcontroller, flex sensor, MPU 6050 accelerometer, and Android application. The performance of the Android-based gesture recognition system as developed in this study was able to achieve an average accuracy (ACC) of 90.80% when evaluated with deaf-mute individuals.

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Design and Development of Android-Based Gesture Recognition System for Deaf-Mute Individuals

  • 章节

  • 发表日期：

    2026年

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  • Ku Nurul Fazira Ku Azir,
  • Adam Mohd Khairuddin,
  • Mohd Rashidi Che Beson,
  • Abdul Rahman Al Hafiz Abdul Rahim

摘要

This research attempted to classify 15 types of gestures to communicate between normal people and deaf-mute individuals by implementing an Android-based gesture recognition system. The gesture recognition system was developed using an ESP32 microcontroller, flex sensor, MPU 6050 accelerometer, and Android application. The performance of the Android-based gesture recognition system as developed in this study was able to achieve an average accuracy (ACC) of 90.80% when evaluated with deaf-mute individuals.