Research and Development of IMU Sensors-based Approach for Sign Language Gesture Recognition


  • A. Abdullah Faculty of Electrical Engineering, Universiti Teknologi Malaysia,81310 UTM Johor Bahru, Johor, Malaysia.
  • N. A. Abdul-Kadir Faculty of Biosciences and Medical Engineering, Universiti Teknologi Malaysia,81310 UTM Johor Bahru, Johor, Malaysia
  • F. K. Che Harun Faculty of Electrical Engineering, Universiti Teknologi Malaysia,81310 UTM Johor Bahru, Johor, Malaysia. Faculty of Biosciences and Medical Engineering, Universiti Teknologi Malaysia,81310 UTM Johor Bahru, Johor, Malaysia


IMU Sensor-based Approach, Sensor Fusion, Sign Language Recognition,


This paper discusses a few Inertial Measurement Unit (IMU) sensor-based approaches for sign language gesture recognition. Generally, there are three main research areas for the IMU sensor-based approach which consist of the device structure, sensors fusion algorithm and calibration method, and finally gesture recognition and classification method. The device structure includes the number and placement of the sensors to cover the degrees of freedom. Sensors fusion algorithms, such as complementary filter, Kalman filter, and EKF are implemented to combine a variety of sensors used for data acquisition. Several gesture classification and recognition methods are also reviewed in this paper. Some of the limitations related to sensor-based technique such as device structure and classification technique are discussed as a research gap for future references.


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How to Cite

Abdullah, A., Abdul-Kadir, N. A., & Che Harun, F. K. (2017). Research and Development of IMU Sensors-based Approach for Sign Language Gesture Recognition. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(3-9), 33–39. Retrieved from