Invention Grant
- Patent Title: Automatically classifying animal behavior
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Application No.: US17085510Application Date: 2020-10-30
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Publication No.: US11669976B2Publication Date: 2023-06-06
- Inventor: Sandeep Robert Datta , Matthew J. Johnson , Alexander B. Wiltschko
- Applicant: President and Fellows of Harvard College
- Applicant Address: US MA Cambridge
- Assignee: President and Fellows of Harvard College
- Current Assignee: President and Fellows of Harvard College
- Current Assignee Address: US MA Cambridge
- Agency: Wolf, Greenfield & Sacks, P.C.
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T7/215 ; A61B5/11 ; G06T7/246 ; G06T7/254 ; G06T7/66 ; A61B5/16

Abstract:
Systems and methods are disclosed to objectively identify sub-second behavioral modules in the three-dimensional (3D) video data that represents the motion of a subject. Defining behavioral modules based upon structure in the 3D video data itself—rather than using a priori definitions for what should constitute a measurable unit of action—identifies a previously-unexplored sub-second regularity that defines a timescale upon which behavior is organized, yields important information about the components and structure of behavior, offers insight into the nature of behavioral change in the subject, and enables objective discovery of subtle alterations in patterned action. The systems and methods of the invention can be applied to drug or gene therapy classification, drug or gene therapy screening, disease study including early detection of the onset of a disease, toxicology research, side-effect study, learning and memory process study, anxiety study, and analysis in consumer behavior.
Public/Granted literature
- US20210110550A1 AUTOMATICALLY CLASSIFYING ANIMAL BEHAVIOR Public/Granted day:2021-04-15
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