Are Microcontrollers Ready for Deep Learning-Based Human Activity Recognition?

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• Finished

  SPHERE2

  Craddock, I. J. (Principal Investigator), Mirmehdi, M. (Co-Investigator), Piechocki, R. J. (Co-Investigator), Flach, P. A. (Co-Investigator), Oikonomou, G. (Co-Investigator), Burghardt, T. (Co-Investigator), Damen, D. (Co-Investigator), Santos-Rodriguez, R. (Co-Investigator), O'Kane, A. A. (Co-Investigator), McConville, R. (Co-Investigator), Masullo, A. (Co-Investigator) & Gooberman-Hill, R. (Co-Investigator)

  1/10/18 → 31/01/23

  Project: Research, Parent

  • Machine Learning 100%
  • Learning System 84%
  • Annotation 73%
  • Deep Learning Method 71%
  • Activity Recognition 48%