Accelerometer Data Based Cyber-Physical System for Training Intensity Estimation

  • Igor D. Kazakov
  • Nataliya L. Shcherbakova
  • Adriaan Brebels
  • Maxim V. ShcherbakovEmail author
Part of the Studies in Systems, Decision and Control book series (SSDC, volume 259)


The correctness of athlete’s behavior can be controlled by health care cyber-physical system containing distributed (mobile) sensors and intelligent data processing. Such cyber-physical systems determine a concrete set of events, such as jumps or falls and identify events parameters, e.g. height and duration. The proposed accelerometer data based cyber-physical system differs from existed ones by an original method for detection of various types of athlete’s behavior. A proposed cyber-physical system contains on three modules: the data acquisition module, the data processing module and the processed data visualization module. A method for jump recognition is based on high frequency accelerometer data. The system is developed using Android Studio, R Studio development environments. The results provided by accelerometer data based cyber-physical system might be used for coaches and doctor in sports medicine for decisions regarding the optimal load in future training sessions. Use cases including different experimental setup shows the efficiency of the proposed system.


Cyber-physical systems Accelerometer data Health-care system Jump detection 



The reported study was supported by RFBR research project 19-47-340010.


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Volgograd State Technical UniversityVolgogradRussia
  2. 2.Katholieke Universiteit LeuvenGeelBelgium

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