Smartwatch application for horse gaits activity recognition

Enrico Casella, Atieh R. Khamesi, Simone Silvestri

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations


Activity recognition has been introduced as a means of detecting an action from a series of observations. Although in the literature, the terms 'activity recognition' and 'human activity recognition' are mostly used interchangeably, there exist several interesting applications for non-human subjects. In this work, we study animal activity recognition with special focus on horse gaits recognition. The on-body and unobtrusive system developed in this paper has several potential applications which can raise attention towards financial, emotional and veterinary health issues related to animals. Leveraging the pervasive use of smartwatches for activity tracking, we develop a smartwatch application to collect accelerometer data. The application is based on novel outlier detection and feature extraction techniques, in conjunction with state-of-the-art machine learning approaches. We perform real life experiments with two horses to evaluate the performances of our proposed system. To this aim, we place the monitoring device both on the horse saddle and the rider's wrist. The results show a high accuracy in both scenarios, which allows a seamless and unobtrusive use of our wearable device application by the rider. In addition, we study the effects of sliding window size and sampling frequency, providing useful insights for future research in horse gaits recognition.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE International Conference on Smart Computing, SMARTCOMP 2019
Number of pages8
ISBN (Electronic)9781728116891
StatePublished - Jun 2019
Event5th IEEE International Conference on Smart Computing, SMARTCOMP 2019 - Washington, United States
Duration: Jun 12 2019Jun 14 2019

Publication series

NameProceedings - 2019 IEEE International Conference on Smart Computing, SMARTCOMP 2019


Conference5th IEEE International Conference on Smart Computing, SMARTCOMP 2019
Country/TerritoryUnited States

Bibliographical note

Publisher Copyright:
© 2019 IEEE.


  • Accelerometer Sensor
  • Animal Activity Recognition
  • Machine Learning
  • Wearable Monitoring

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Safety, Risk, Reliability and Quality


Dive into the research topics of 'Smartwatch application for horse gaits activity recognition'. Together they form a unique fingerprint.

Cite this