Real-time Monitoring of the Horse-Rider Dyad Using Body Sensor Network Technology
| Autor: | Daniel Berckmans, Deborah Piette, Tomas Norton, Vasileios Exadaktylos |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Computer science
05 social sciences 0402 animal and dairy science 04 agricultural and veterinary sciences Computer security computer.software_genre 040201 dairy & animal science Order (business) Human–computer interaction Mental state Horse rider 0501 psychology and cognitive sciences 050102 behavioral science & comparative psychology computer Wireless sensor network Dyad |
| Zdroj: | BSN |
| Popis: | © 2016 IEEE. When it comes to equestrian disciplines, the horse-rider dyad is amongst the most discussed topics. Recently the emergence of equitation science has led to an increased interest in objectively quantifying the interaction between the rider and horse. In this paper a methodology is presented to evaluate how the mental state of police horses interacts with that of their riders in order to assess the performance of police horses. This paper demonstrates how Body Sensor Network technology can be applied for real-time monitoring of the horse-rider dyad. The results of the study demonstrate that the mental state interaction between rider and horse is significantly different between bad police horses and good police horses. ispartof: pages:287-291 ispartof: 2016 IEEE 13TH INTERNATIONAL CONFERENCE ON WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS (BSN) pages:287-291 ispartof: 13th IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN) location:San Francisco, CA date:14 Jun - 17 Jun 2016 status: published |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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