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Design and Analysis of Smart Sensing System for Animal Emotions Recognition
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 169 - Number 11 |
| Year of Publication: 2017 |
| Authors: Erick Alphonce Massawe, Michael Kisangiri, Shubi Kaijage, Padmanabhan Seshaiyer |
10.5120/ijca2017914797
|
Erick Alphonce Massawe, Michael Kisangiri, Shubi Kaijage, Padmanabhan Seshaiyer . Design and Analysis of Smart Sensing System for Animal Emotions Recognition. International Journal of Computer Applications. 169, 11 ( Jul 2017), 46-50. DOI=10.5120/ijca2017914797
Abstract
Recently, animal emotion recognition has become an important field for developing intelligent systems for tracking and monitoring rhinos and elephants. In this work, a smart sensing system that helps in detecting animal emotions based on information from physiological parameters obtained from sensors attached on animal body, has been designed. The signals are continuously obtained from a heart rate sensor,galvanic skin resistance sensorand body temperature sensor. After amplifying and filtering of the signals from the sensors are done, they are processed in the microcontroller and transmitted wirelessly using GSM modem and ZigBee technologies.The signals which are received from the system are displayed and stored in the database where they are analyzed visually for patterns. The four basic emotions parameters observed in this project are happy (excited), sad, angry and neutral (relaxed). In this research dog have been used for the pilot study.
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