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Chayakorn Netramai. Deep learning-based monitoring system for distress on mice using behavior analysis. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2022.
Deep learning-based monitoring system for distress on mice using behavior analysis
Name: Thanh, Vu Quang
Organization :
KMUTNB. The Sirindhorn International Thai-German Graduate School of Engineering (TGGS)
Email :
quang.v-sse2019@tggs.kmutnb.ac.th
Name: Chayakorn Netramai
Organization :
KMUTNB. The Sirindhorn International Thai-German Graduate School of Engineering (TGGS)
Email :
chayakorn.n@tggs.kmutnb.ac.th
keyword:
Biomedical monitoring systems
LCSH:
Animal behavior
LCSH:
Mice
-- Physiology
Abstract:
Experiments in medical laboratories are required to
strictly follow several ethical and legal regulations as they involve
utilizing animals in research. These requirements aim to relieve
and minimize the suffering from used animals. Many studies
and research were proposed to find efficient methods to detect
and measure the distress level in animals. However, they are still
labor-intensive and require a lot of manual effort. Especially,
there is no published artificial system that allows detecting
distress and pain in mice based on their behaviors. In this work,
we propose an automatic monitoring system of mouse activity
that targets to process raw videos with the standard set-up to
examine the pain/distress symptoms through mouse behaviors.
We make use of recent deep learning advances in object detection
and action recognition field to allow detecting animals in boxes
and analyzing their behaviors. The result showed that the
proposed automated monitoring system is efficient in recognizing
mouse behavior and can be used to early identify the sign of pain
in mice.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2022
Modified:
2025-08-21
Issued:
2025-08-21
บทความ/Article
application/pdf
BibliograpyCitation :
In Electrical Engineering Academic Association (Thailand) and Rajamangala University of Technology Isan Khon Kaen Campus. Faculty of Engineering. The 2022 International Electrical Engineering Congress (iEECON 2022) (P01636). Khon Kaen : Rajamangala University of Technology Isan, 2022
eng
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0.029518 วินาที
Thanh, Vu Quang
| Title | Contributor | Type |
|---|---|---|
| Deep learning-based monitoring system for distress on mice using behavior analysis
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Thanh, Vu Quang ;Chayakorn Netramai | บทความ/Article |
Chayakorn Netramai
| Title | Contributor | Type |
|---|---|---|
| Optimized architectural adaption using a generic workflow for telematics on harvesters in Asia
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Viebrock, Lukas;Chayakorn Netramai | บทความ/Article | |
| Deep learning-based monitoring system for distress on mice using behavior analysis
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Thanh, Vu Quang ;Chayakorn Netramai | บทความ/Article |