Notice of Violation of IEEE Publication Principles: Detection of critical activity by accelerometer and gyroscope sensors

Notice of Violation of IEEE Publication Principles

"Detection of Critical Activity by Accelerometer and Gyroscope Sensors,"
by Y. Yelkovan, H. Guneren, A. Turk, O. Cetin and E. C. Guler,
in the Proceedings of the 24th Signal Processing and Communication Application Conference (SIU), 2016, pp. 2157-2160

This paper has been found to be in violation of IEEE's Publication Principles.

This paper includes an author who was prohibited from publishing with IEEE during the dates of the conference. Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and refrain from future references to this paper.


In this study, a hardware prototype that has an inertial measurement unit including an accelerometer and a gyroscope with the ability to record sensor readings is developed. Using the prototype on the training weapons, gyroscope and accelerometer readings were recorded, during gunshots as well as other movements namely, shocks, shaking and random movements. Later, a method that detects the gunshots and classifies them against shocks, shaking and random movements is proposed. The proposed method is based on extracting features from signals generated by the different movements, and identifies them using a classifier. The spectral sub-band energy ratios represent the movements and the k-Nearest Neighbor algorithm is used for classification. It is shown that, gunshot movements are recognized correctly against shocks, shaking and other random movements with a true classification rate of 98%. In addition, this study can also provide input to analyzes of characteristic movements of human and mechanical systems.