2019년 춘계학술대회
Current Result Document :
| 한글제목(Korean Title) |
A Machine Learning Approach to Detect the Dog’s Behavior using Wearable Sensors |
| 영문제목(English Title) |
A Machine Learning Approach to Detect the Dog’s Behavior using Wearable Sensors |
| 저자(Author) |
Satyabrata Aich
Sabyasachi Chakraborty
Moon-il Joo
Jong Seong Sim
Hee-Cheol Kim
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| 원문수록처(Citation) |
VOL 23 NO. 01 PP. 0281 ~ 0282 (2019. 05) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
In recent years welfare of animals is the biggest challenge because animals, especially dogs are widely recognized as pet as well as they are using as service animals. So, for the wellbeing of the dog it is necessary to perform objective assessment to track their behavior in everyday life. In this paper, we have proposed an automatic behavior assessment system for dogs based on a neck worn and tail worn accelerometer and gyroscope platform, and data analysis techniques that recognize typical dog activities. We evaluate the system based on the analysis of 8 behavior traits in 3 dogs, incorporating 2 breeds of various sizes. Our proposed framework able to reproduce the manual assessment that is based on the video recording which is treated as gold standard that exhibits the real-life use case of automated dog behavior analysis. |
| 키워드(Keyword) |
Wearable sensors
pet
dog behavior
machine learning
objective assessment
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| 파일첨부 |
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