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Design and Analysis of Smart Sensing System for Animal Emotions Recognition

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dc.creator Massawe, Erick Alphonce
dc.creator Michael, Kisangiri
dc.creator Kaijage, Shubi
dc.creator Seshaiyer, Padmanabhan
dc.date 2019-08-27T05:55:25Z
dc.date 2019-08-27T05:55:25Z
dc.date 2017-07
dc.date.accessioned 2022-10-25T09:15:52Z
dc.date.available 2022-10-25T09:15:52Z
dc.identifier http://dspace.nm-aist.ac.tz/handle/123456789/426
dc.identifier.uri http://hdl.handle.net/123456789/94654
dc.description Research Article published by International Journal of Computer Applications Volume 169 – No.11, July 2017
dc.description 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.
dc.format application/pdf
dc.language en
dc.publisher International Journal of Computer Applications
dc.subject Animal emotion
dc.subject smart sensors
dc.subject heart rate
dc.subject skin temperature
dc.subject skin conductance
dc.subject voice control
dc.subject K-means clustering algorithm
dc.title Design and Analysis of Smart Sensing System for Animal Emotions Recognition
dc.type Article


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