The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Sep. 03, 2024
Filed:
Aug. 26, 2022
Société Des Produits Nestlé S.a., Vevey, CH;
Mark Alan Donavon, Troy, IL (US);
Natalie Langenfeld-McCoy, Bethalto, IL (US);
Ragen Trudelle-Schwarz McGowan, Saint Joseph, MO (US);
Helber Dussan, Saint Louis, MO (US);
Mani Bharath Kamaraj, Coimbatore, IN;
Vignesh Vijayarajan, Chennai, IN;
Venkatakrishnan Govindarajan, Chennai, IN;
Ajay Singh, Madhya Pradesh, IN;
Sarath Malipeddi, Andhra Pradesh, IN;
Abhishek Sai Nasanuru, Tirupati, IN;
Ayushi Krishnan, Bihar, IN;
Dwarakanath Raghavendra Ravi, Chennai, IN;
Daniel James Sherwood, Cambridge, GB;
Russell Stewart Maguire, Cambridge, GB;
Jack William James Stone, Cambridge, GB;
Georgina Elizabeth Mary Logan, Cambridge, GB;
Tomoko Hatori, Cambridge, GB;
Peter Michael Haubrick, Cambridge, GB;
Wendela Sophie Schim van der Loeff, Cambridge, GB;
Société des Produits Nestlé S.A., Vevey, CH;
Abstract
The present disclosure provides systems and methods for animal health monitoring. Load data can be obtained from an animal monitoring device including three or more load sensors associated with a platform carrying contained litter thereabove, wherein individual load sensors of the three or more load sensors are separated from one another and receive pressure input from the platform independent of one another, wherein the three or more load sensors individually sample loads at from 2.5 Hz to 110 Hz. An animal behavior property associated with the animal can be recognized if it is determined based on load data that the interaction with the contained litter was due to the animal interaction with the contained litter. The animal behavior property can be classified into an animal classified event using a machine learning classifier.