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
Avenue Nestle 55
1800 Vevey, CH
Inventors
DONAVON, Mark Alan
105 Brookfield Court
Troy, 62294, US
LANGENFELD-MCCOY, Natalie
133 Westmoreland Dr.
Bethalto, Illinois 62010, US
MCGOWAN, Ragen Trudelle-Schwarz
1722 Crescent Drive
St. Joseph, Missouri 64506, US
DUSSAN, Helber
7532 York Dr. Unit 3E
Saint Louis, Missouri 63105, US
KAMARAJ, Mani Bharath
No.10, VRG Nagar, P&T Colony Kavundampalayam
Coimbatore 641030, IN
VIJAYARAJAN, Vignesh
Plot No 11B, Govindarajulu Street
Rajalakshmi Nagar Extension
Madipakkam, Chennai 600091, IN
GOVINDARAJAN, Venkatakrishnan
31/1, 25th Street, Sri Sankara Nagar
Pammal, Chennai 600075, IN
SINGH, Ajay
LIG 19, Housing Board Colony, Parasia Road
Madhya Pradesh 480001, IN
MALIPEDDI, Sarath
Flat N 502, Sai Blue Petals, Opp DMART Madhurawada
Andhra Pradesh 530041, IN
NASANURU, Abhishek Sai
19-8-169/101, Cherries Residency
SBI Colony, D.R.Mahal Road
Tirupati 517501, IN
KRISHNAN, Ayushi
Lane No.2, Siddharthpuram, Ramdayalu Nagar
Muzaffarpur, Bihar 842002, IN
RAVI, Dwarakanath Raghavendra
Flat no.16, Kumaran apts, no.76, 3rd mn road
Gandhinagar, Adyar
Chennai 600020, IN
SHERWOOD, Daniel James
Science Park, Milton Road
Cambridge CB4 0DW, GB
MAGUIRE, Russell Stewart
Science Park, Milton Road
Cambridge CB4 0DW, GB
STONE, Jack William James
Science Park, Milton Road
Cambridge CB4 0DW, GB
LOGAN, Georgina Elizabeth Mary
Science Park, Milton Road
Cambridge CB4 0DW, GB
HATORI, Tomoko
Science Park, Milton Road
Cambridge CB4 0DW, GB
HAUBRICK, Peter Michael
Science Park, Milton Road
Cambridge CB4 0DW, GB
SCHIM VAN DER LOEFF, Wendela Sophie
Science Park, Milton Road
Cambridge CB4 0DW, GB
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 | * |
| Pages for Publication | * |
| Number of Pages with Drawings | * |
| Pages of Specification | * |
| * | |
| * | |
International Searching Authority |
EPO
* |
| Applicant's Legal Status |
Legal Entity
* |
| * | |
| * | |
| * | |
| * | |
| Entry into National Phase under |
Chapter I
* |
| Translation |
|
Recalculate
* 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 | 1960 | |
| EPO | Filing, Examination | 12275 | |
| Japan | Filing | 588 | |
| South Korea | Filing | 574 | |
| USA | Filing, Examination | 6110 |
Total: 21507 USD
The term for entry into the National Phase has expired. This quotation is for informational purposes only
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.