Flexible gesture recognition using wearable inertial sensors

  title={Flexible gesture recognition using wearable inertial sensors},
  author={Huda Abualola and Hanin Al Ghothani and Abdulrahim Naser Eddin and Nawaf Almoosa and Kin Fai Poon},
  journal={2016 IEEE 59th International Midwest Symposium on Circuits and Systems (MWSCAS)},
This paper proposes a novel glove-based system for hand-gesture recognition. The system tracks fine-grain hand movements using inertial and attitude measurements. Gestures are recognized in real-time by feeding the sensor readings to a machine-learning algorithm. In addition, gestures are communicated wirelessly to external devices for display and control purposes. The machine learning algorithm is based on Linear Discriminant Analysis (LDA), which allows for accurate and low-complexity… CONTINUE READING


Publications referenced by this paper.

Classification on hand gesture recognition and translation from real time video using svm-knn

  • S. S, S. KC, S K.K.
  • International Journal of Applied Engineering…
  • 2016
1 Excerpt

Singularity-free extraction of a quaternion from a direction-cosine matrix

  • A. R. Klumpp
  • Journal of Spacecraft and Rockets, vol. 13, no…
  • 2016

A survey of glovebased systems and their applications Real time hand gesture recognition system for dynamic applications

  • A. M. Sabatini
  • IJU International Journal of UbiComp
  • 2012

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