发明名称 |
System and method for automatically discovering, characterizing, classifying and semi-automatically labeling animal behavior and quantitative phenotyping of behaviors in animals |
摘要 |
A method for studying the behavior of an animal in an experimental area including stimulating the animal using a stimulus device; collecting data from the animal using a data collection device; analyzing the collected data; and developing a quantitative behavioral primitive from the analyzed data. A system for studying the behavior of an animal in an experimental area including a stimulus device for stimulating the animal; a data collection device for collecting data from the animal; a device for analyzing the collected data; and a device for developing a quantitative behavioral primitive from the analyzed data. A computer implemented method, a computer system and a nontransitory computer readable storage medium related to the same. Also, a method and apparatus for automatically discovering, characterizing and classifying the behavior of an animal in an experimental area. Further, use of a depth camera and/or a touch sensitive device related to the same. |
申请公布号 |
US9317743(B2) |
申请公布日期 |
2016.04.19 |
申请号 |
US201414537246 |
申请日期 |
2014.11.10 |
申请人 |
President and Fellows of Harvard College |
发明人 |
Datta Sandeep Robert;Wiltschko Alexander B. |
分类号 |
G06K9/00;G06T7/00;A01K67/00;A61B5/11;G06F19/18 |
主分类号 |
G06K9/00 |
代理机构 |
Nixon Peabody LLP |
代理人 |
Nixon Peabody LLP ;Resnick David S.;Birkeneder Erik |
主权项 |
1. A method for automatically discovering, characterizing and classifying the behavior of an animal in an experimental area, comprising:
(a) using a 3D depth camera to obtain a video stream having a plurality of images of the experimental area with the animal in the experimental area, the images having both area and depth information; (b) removing background noise from each of the plurality of images to generate processed images having light and dark areas; (c) determining contours of the light areas in the plurality of processed images; (d) extracting parameters from both area and depth image information within the contours to form a plurality of multi-dimensional data points, each data point representing the posture of the animal at a specific time and identifying the animal's head and tail based on a derivative of the contour curvature; (e) clustering the data points at each specific time to output a set of clusters that are segmented form each other so that each cluster represents an animal behavior; (f) assigning each cluster a label that represents an animal behavior; and (g) outputting a visual representation of the set of clusters and corresponding labels. |
地址 |
Cambridge MA US |