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Home / Equine Research Bank / Sensors (Basel) / Human and Animal Motion Tracking Using Inertial Sensors.
Sensors (Basel, Switzerland)2020; 20(21); 6074; doi: 10.3390/s20216074

Human and Animal Motion Tracking Using Inertial Sensors.

Abstract: Motion is key to health and wellbeing, something we are particularly aware of in times of lockdowns and restrictions on movement. Considering the motion of humans and animals as a biomarker of the performance of the neuro-musculoskeletal system, its analysis covers a large array of research fields, such as sports, equine science and clinical applications, but also innovative methods and workplace analysis. In this Special Issue of Sensors, we focused on human and animal motion-tracking using inertial sensors. Ten research and two review papers, mainly on human movement, but also on the locomotion of the horse, were selected. The selection of articles in this Special Issue aims to display current innovative approaches exploring hardware and software solutions deriving from inertial sensors related to motion capture and analysis. The selected sample shows that the versatility and pervasiveness of inertial sensors has great potential for the years to come, as, for now, limitations and room for improvement still remain.
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Publication Date: 2020-10-26 PubMed ID: 33114597PubMed Central: PMC7662986DOI: 10.3390/s20216074Google 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 article discusses the use of inertial sensors to track and analyse human and animal motion. It puts forward the potential these sensors have in various fields such as sports, equine science, and clinical applications.

Research Scope

  • The focus of the study is to explore motion tracking in humans and animals using inertial sensors. Motion or movement plays a significant role in the health and wellbeing of living beings; it is seen as a biomarker indicating the performance of the neuro-musculoskeletal system.
  • The scope of its application is vast, encompassing areas like sports, equine science, clinical applications, innovative technologies, and workplace analysis. During situations such as lockdowns when movement is restricted, understanding and tracking motion becomes crucial.

Special Issue of Sensors

  • This research is specifically a part of a Special Issue of Sensors with a primary focus on motion tracking methodologies involving inertial sensors.
  • Out of the various papers examined, ten research papers and two reviews were selected, the majority of which were based on human motion tracking. Some also studied the locomotion of horses, indicating the variety in the application of motion tracking.

Innovative Approaches

  • The study aims to demonstrate the current innovative approaches in the field of motion capture and analysis, particularly pertaining to hardware and software solutions inspired by inertial sensors.
  • The sample selection in the study showcases how the versatility and pervasiveness of the inertial sensors hold immense possibilities for the future. However, it also admits that there are still some limitations and areas that require improvement.

Cite This Article

APA
Marin F. (2020). Human and Animal Motion Tracking Using Inertial Sensors. Sensors (Basel), 20(21), 6074. https://doi.org/10.3390/s20216074

Publication

Sensors (Basel, Switzerland)
ISSN: 1424-8220
NlmUniqueID: 101204366
Country: Switzerland
Language: English
Volume: 20
Issue: 21
PII: 6074

Researcher Affiliations

Marin, Frédéric
  • Centre of Excellence for Human and Animal Movement Biomechanics (CoEMoB), Laboratoire de BioMécanique et BioIngénierie (UMR CNRS 7338), Université de Technologie de Compiègne (UTC), Alliance Sorbonne Université, 60200 Compiègne, France.

MeSH Terms

  • Animals
  • Biomechanical Phenomena
  • Biosensing Techniques
  • Horses
  • Humans
  • Motion
  • Movement

Conflict of Interest Statement

The author declares no conflict of interest

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This article includes 13 references
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Citations

This article has been cited 7 times.
  1. Kazimierski LD, Oliva Trevisan A, Kubisch E, Laneri K, Catalano N. Design and Development of a Family of Integrated Devices to Monitor Animal Movement in the Wild.. Sensors (Basel) 2023 Apr 2;23(7).
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    doi: 10.3390/ani12243498pubmed: 36552418google scholar: lookup
  3. Marin F, Warmerdam E, Marin Z, Ben Mansour K, Maetzler W, Hansen C. Scoring the Sit-to-Stand Performance of Parkinson's Patients with a Single Wearable Sensor.. Sensors (Basel) 2022 Oct 30;22(21).
    doi: 10.3390/s22218340pubmed: 36366038google scholar: lookup
  4. Domino M, Borowska M, Zdrojkowski Ł, Jasiński T, Sikorska U, Skibniewski M, Maśko M. Application of the Two-Dimensional Entropy Measures in the Infrared Thermography-Based Detection of Rider: Horse Bodyweight Ratio in Horseback Riding.. Sensors (Basel) 2022 Aug 13;22(16).
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  6. Hatrisse C, Macaire C, Sapone M, Hebert C, Hanne-Poujade S, De Azevedo E, Marin F, Martin P, Chateau H. Stance Phase Detection by Inertial Measurement Unit Placed on the Metacarpus of Horses Trotting on Hard and Soft Straight Lines and Circles.. Sensors (Basel) 2022 Jan 18;22(3).
    doi: 10.3390/s22030703pubmed: 35161452google scholar: lookup
  7. Sapone M, Martin P, Ben Mansour K, Chateau H, Marin F. The Protraction and Retraction Angles of Horse Limbs: An Estimation during Trotting Using Inertial Sensors.. Sensors (Basel) 2021 May 30;21(11).
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