WO2023026250 - METHOD FOR ANIMAL HEALTH MONITORING
National phase entry:
Publication Number
WO/2023/026250
Publication Date
02.03.2023
International Application No.
PCT/IB2022/058017
International Filing Date
26.08.2022
Title **
[English]
METHOD FOR ANIMAL HEALTH MONITORING
[French]
PROCÉDÉ DE SURVEILLANCE DE LA SANTÉ D'UN ANIMAL
Applicants **
SOCIETE DES PRODUITS NESTLE SA
Inventors
DONAVON, Mark Alan
LANGENFELD-MCCOY, Natalie
MCGOWAN, Ragen Trudelle-Schwarz
DUSSAN, Helber
KAMARAJ, Mani Bharath
VIJAYARAJAN, Vignesh
GOVINDARAJAN, Venkatakrishnan
SINGH, Ajay
MALIPEDDI, Sarath
NASANURU, Abhishek Sai
KRISHNAN, Ayushi
RAVI, Dwarakanath Raghavendra
SHERWOOD, Daniel James
MAGUIRE, Russell Stewart
STONE, Jack William James
LOGAN, Georgina Elizabeth Mary
HATORI, Tomoko
HAUBRICK, Peter Michael
SCHIM VAN DER LOEFF, Wendela Sophie
Priority Data
63/237,664
27.08.2021
US
Application details
| Total Number of Claims/PCT | * |
| Number of Independent Claims | * |
| Number of Priorities | * |
| Number of Multi-Dependent Claims | * |
| Number of Drawings | * |
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| Number of Pages with Drawings | * |
| Pages of Specification | * |
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| Number of Office Actions | * |
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International Searching Authority |
EPO
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| Recordal of a Change of the Applicant's Name/Address |
Change of Applicant's Name and Address
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| Type of Assignment |
The Standard Agent's Assignment
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| Applicant's Legal Status |
Legal Entity
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| * | |
| * | |
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| Entry into National Phase under |
Chapter I
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| Patent Delivery |
Send the Letters Patent by Courier
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| Translation |
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* The data is based on automatic recognition. Please verify and amend if necessary.
** IP-Coster compiles data from publicly available sources. If this data includes your personal information, you can contact us to request its removal.
Quotation for National Phase entry
| Country | Stages | Total | |
|---|---|---|---|
| China | Filing, Examination, Granting | 2918 | |
| EPO | Filing, Examination, Granting | 21149 | |
| Japan | Filing, Examination, Granting | 2911 | |
| South Korea | Filing, Examination, Granting | 3738 | |
| USA | Filing, Examination, Granting | 8140 |
Total:
38,856
The term for entry into the National Phase has expired. This quotation is for informational purposes only
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Abstract[English]
The present disclosure provides systems and methods for animal health monitoring. Load data can be obtained from a plurality of load sensors associated with a platform carrying contained litter thereabove, wherein individual load sensors of the plurality of load sensors are separated from one another and receive pressure input from the platform independent of one another. If the load data is determined or not to be from an animal interaction with the contained litter, an animal behavior property associated with an animal is recognized if a determination is made based on load data that the interaction with the contained litter was due to the animal interaction. The animal behavior property is classified into an animal classified event using a machine learning classifier. A change in the animal classified event is identified as compared to a previously recorded event associated with the animal.[French]
La présente divulgation concerne des systèmes et des procédés de surveillance de la santé d'un animal. Des données de charge peuvent être obtenues en provenance d'une pluralité de capteurs de charge associés à une plateforme sur laquelle se situe une litière contenue, les capteurs de charge individuels parmi la pluralité des capteurs de charge étant séparés les uns des autres et recevant une entrée de pression provenant de la plate-forme indépendamment les uns des autres. Le fait que les données de charge proviennent ou non d'une interaction d'animal avec la litière contenue permet de reconnaître une propriété de comportement animal associée à un animal s'il est déterminé, sur la base de données de charge, que l'interaction avec la litière contenue était due à l'interaction d'animal. La propriété de comportement animal est classée en tant qu'événement classé animal à l'aide d'un classificateur d'apprentissage automatique. Un changement de l'événement classé animal est identifié par rapport à un événement enregistré préalablement qui est associé à l'animal.