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Vol: 59(73) No: 2 / December 2014 Extraction of motion features from accelerometric data in behavioural research Gergö Sántha Óbuda University, Budapest, Hungary, e-mail: sgergo@yahoo.com Gyula Hermann Óbuda University, Budapest, Hungary, e-mail: hermann.gyula@nik.uni-obuda.hu Keywords: accelerometric measurements, behavioural research, system-on-chips Abstract Recent advances in accelerometric measurements accompanied with the development of novel wireless system-on-chips (SoCs) have enabled the scientific community to use small, if not tiny devices to collect motion data from free-roaming animals, either in their natural habitats or in the laboratory. The collected data can then be used to study the behaviour of these animals under different conditions, yielding valuable information to veterinary drug research or wildlife preservation. In this paper, we discuss various methods of extracting relevant data from raw accelerometers which are attached to animal subjects in experimental conditions. References [1] L. Bao and S. S. Intille, “Activity recognition from user annotated acceleration data,” in Pervasive Computing, A. Ferscha and F. Mattern, Eds., Lecture Notes in Computer Science, vol. 3001, Springer-Verlag, Berlin, Heidelberg, 2004, pp. 1-17. [2] G. Sántha and Gy. Hermann, “Miniature wireless sensor design for behavioral analysis on free-roaming laboratory animals,” in Proc. 2012 IEEE 10th Jubilee International Symposium on Intelligent Systems and Informatics (SISY 2012), Subotica, Serbia, 2012, pp. 239-241. [3] F. Foerster, M. Smeja, and J. Fahrenberg, “Detection of posture and motion by accelerometry: a validation study in ambulatory monitoring,” Computers in Human Behavior, vol. 15, no. 5, pp. 571-583, 1999. [4] C. Pozna and R.-E. Precup, “Aspects concerning the observation process modelling in the framework of cognition processes,” Acta Polytechnica Hungarica, vol. 9, no. 1, pp. 203-223, 2012. [5] H. Yonaba, F. Anctil, and V. Fortin, “Comparing sigmoid transfer functions for neural network multistep ahead streamflow forecasting,” Journal of Hydrologic Engineering, vol. 15, no. 4, pp. 275-283, 2010. [6] Ch. J. Fisher, Using an Accelerometer for Inclination Sensing, Application Note AN-1057, Analog Devices. [7] S. S. Upadhya and N. Wankhede, “Pitch estimation using autocorrelation method and AMDF,” in Proc. International Conference on Advances in Computing and Management, 2012, pp. 249-253. [8] C. Pozna and R.-E. Precup, “Application of signatures to expert systems modelling,” Acta Polytechnica Hungarica, vol. 11, no. 2, pp. 21-38, 2014. |