A method and a device to detect, classify and quantify, in real time, the Feeding activity of Ruminant Animals

摘要

Requirement 1: a method for real-time detection, classification and quantification of ruminant food activity, including the following steps: (a) detection and classification of individual food events (chewing, chewing, biting) by measurement; 2. Processing and analyzing the voice and head position produced by animals; (b) identifying and classifying the diet activities of animals according to the analysis of the time series of individual diet events described in the above paragraph;(c) According to the estimation of the characteristic parameters of food activity produced by the sound signal, the intake behavior of animals is quantified. Claim 10: a device for real-time detection, classification and quantification of ruminant food activity, including: (a) at least one sound or vibration sensor is installed on the animal head to detect indicative data of animal food activity; (b) At least one inertial measurement unit (IMU) is used to measure the movement of animal head in food activities;(c) At least one inclinometer is used to measure the position of animal head in food activities; (d) at least one embedded system (based on microprocessor, WFP or WFP) is used to process the acquired signals and integrate the signals of WFP to correct errors and improve the accuracy of movement data; (e) At least one embedded system (microprocessor-based, FPGA CA ASIC) is used to process the acquired signals, filter and extract information related to food activities from the sound signals;2. Integrate the voice signal and head position information, so as to find the dietary activity and determine and quantify the intake behavior based on the analysis of the indicative parameters of voice and head position.