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Home / Equine Research Bank / Sensors (Basel) / Validation of Alogo Move Pro: A GPS-Based Inertial Measureme...
Sensors (Basel, Switzerland)2023; 23(9); 4196; doi: 10.3390/s23094196

Validation of Alogo Move Pro: A GPS-Based Inertial Measurement Unit for the Objective Examination of Gait and Jumping in Horses.

Abstract: Quantitative information on how well a horse clears a jump has great potential to support the rider in improving the horse's jumping performance. This study investigated the validation of a GPS-based inertial measurement unit, namely Alogo Move Pro, compared with a traditional optical motion capture system. Accuracy and precision of the three jumping characteristics of maximum height (Zmax), stride/jump length (lhorz), and mean horizontal speed (vhorz) were compared. Eleven horse-rider pairs repeated two identical jumps (an upright and an oxer fence) several times ( = 6 to 10) at different heights in a 20 × 60 m tent arena. The ground was a fiber sand surface. The 24 OMC (Oqus 7+, Qualisys) cameras were rigged on aluminum rails suspended 3 m above the ground. The Alogo sensor was placed in a pocket on the protective plate of the saddle girth. Reflective markers placed on and around the Alogo sensor were used to define a rigid body for kinematic analysis. The Alogo sensor data were collected and processed using the Alogo proprietary software; stride-matched OMC data were collected using Qualisys Track Manager and post-processed in Python. Residual analysis and Bland-Altman plots were performed in Python. The Alogo sensor provided measures with relative accuracy in the range of 10.5-20.7% for stride segments and 5.5-29.2% for jump segments. Regarding relative precision, we obtained values in the range of 6.3-14.5% for stride segments and 2.8-18.2% for jump segments. These accuracy differences were deemed good under field study conditions where GPS signal strength might have been suboptimal.
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Publication Date: 2023-04-22 PubMed ID: 37177397PubMed Central: PMC10181332DOI: 10.3390/s23094196Google Scholar: Lookup
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Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

The research focuses on validating a GPS-based measurement tool, Alogo Move Pro, that assesses various jumping parameters in horses and contributes to fine-tuning their performance.

Objective and Methodology of the Study

  • The objective of this study was to validate the Alogo Move Pro, a GPS-based inertial measurement unit, intended for objectively evaluating jumping and gait in horses. The system was tested and compared with an already-established traditional optical motion capture system.
  • Eleven horse-rider pairs were at the center of this study, repeating two identical jumps multiple times in a tent arena. All jumps were executed on a fiber sand surface.
  • Fitted with 24 OMC cameras, the arena provided the means to capture and analyze each jump. These cameras were placed on aluminum rails, positioned 3 m above the ground. Simultaneously, the Alogo sensor was secured in a pocket on the horse’s saddle girth protective plate.
  • Kinematic analysis was made possible through the use of reflective markers that were strategically placed on and around the Alogo sensor.
  • The data derived from the Alogo sensor were processed through the Alogo proprietary software. This set of information was later juxtaposed with data collected and processed through the Qualisys Track Manager and Python software for further comparative analysis.

Results of the Study

  • The research found that Alogo Move Pro can accurately measure within the range of 10.5-20.7% for stride segments and 5.5-29.2% for jump segments.
  • The precision of the tool was also quantified, yielding values within the range of 6.3-14.5% for stride segments and 2.8-18.2% for jump segments.
  • Despite potential limitations such as suboptimal GPS signal strength in the field study conditions, the accuracy differences achieved were considered good, thus validating the Alogo Move Pro as a reliable measurement tool for horse jumping.

Cite This Article

APA
Guyard KC, Montavon S, Bertolaccini J, Deriaz M. (2023). Validation of Alogo Move Pro: A GPS-Based Inertial Measurement Unit for the Objective Examination of Gait and Jumping in Horses. Sensors (Basel), 23(9), 4196. https://doi.org/10.3390/s23094196

Publication

Sensors (Basel, Switzerland)
ISSN: 1424-8220
NlmUniqueID: 101204366
Country: Switzerland
Language: English
Volume: 23
Issue: 9
PII: 4196

Researcher Affiliations

Guyard, Kévin Cédric
  • Information Science Institute GSEM/CUI, University of Geneva, 1227 Carouge, Switzerland.
Montavon, Stéphane
  • Veterinary Department of the Swiss Armed Force, 3003 Berne, Switzerland.
Bertolaccini, Jonathan
  • Information Science Institute GSEM/CUI, University of Geneva, 1227 Carouge, Switzerland.
Deriaz, Michel
  • HES-SO/HEG Genève, 1227 Carouge, Switzerland.

MeSH Terms

  • Animals
  • Azithromycin
  • Biomechanical Phenomena
  • Gait
  • Horses
  • Software
  • Geographic Information Systems

Conflict of Interest Statement

The authors declare no conflict of interest.

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Citations

This article has been cited 1 times.
  1. Zou A, Hu W, Luo Y, Jiang P. An Improved UWB/IMU Tightly Coupled Positioning Algorithm Study.. Sensors (Basel) 2023 Jun 26;23(13).
    doi: 10.3390/s23135918pubmed: 37447768google scholar: lookup
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