Your Cart

• Log in

• Related Products
• Parent
  • • The International Journal of Technology, Knowledge and Society
• Associated
  • • How Open Source Software and Wireless Networks are Transforming Two Cultures
  • • Writing Science in the 21st Century
  • • Identifying Hacking and Abuse Threats towards a Home DSL Internet Connection with High Interaction Honeypot Implementation
  • • Automated Clinical Research Mice Movement Detection System
  • • The Techne Project
  • • Southern Africa and the Digital Divide
  • • Migrants’ Communication Practices with ICTs
  • • Scholarly Communication through e-Publishing in Digital Libraries
  • • Enhancing Control and Empowerment of Elders through Assistive Technology
  • • Toward an Online Community Model for Local Businesses
  • More →

Automated Clinical Research Mice Movement Detection System

By Emran Mohd Tamil, Ti Siang Tey, Mohd Rais Mustafa, Mohd Yamani Idna Idris and Mohd Hairul Nizam Md Nasir.

Published by The International Journal of Technology, Knowledge and Society

This project develops a system to monitor the movement and behaviour of mice using an image comparison method. It is aimed to help clinical or related research departments to reduce the workload of mice monitoring by using an automated system. It is able to determine the location of a mouse at a specific time and it is able to record all the data into database. The movements of the mice can be retrieved from the database and be played back to the user. The system consists of two monitoring modes, which are the movement-based and the time-based mode. The image will be captured and data will be saved to disk only when a movement is detected when running movement based mode. However, under a time-based mode, image and data will be recorded after certain time intervals. Both monitoring modes utilize the same comparison method. The first image is being captured as a reference image using a fixed webcam. Another image will be captured after a certain time. Two images are segmented into small rectangles and compared to each other pixel by pixel. If the number of different pixels exceeds the threshold determined by the user, the mouse is considered located at that location. This process is repeated so the movement of mouse for certain periods can be determined. The movement trail of the mouse can be generated from the data collected.

The International Journal of Technology, Knowledge and Society, Volume 4, Issue 6, pp.63-76. Article: Print (Spiral Bound). Article: Electronic (PDF File; 1.832MB).

Emran Mohd Tamil

Lecturer, Faculty of Computer Science & Information Technology, Department of Computer System and Technology, University of Malaya, Lembah Pantai, Kuala Lumpur, Malaysia

Ti Siang Tey

Faculty of Computer Science & Information Technology, University of Malaya, Kuala Lumpur, Federal State, Malaysia

Mohd Rais Mustafa

Head of Department, Department of Pharmacology, Faculty of Medicine, University of Malaya, Kuala Lumpur, Federal State, Malaysia

Mohd Yamani Idna Idris

Senior Lecturer, Department of Computer System & Technology, , Faculty of Computer Science & Information Technology,, University of Malaya, Kuala Lumpur, Federal State, Malaysia

Mr. Mohd Hairul Nizam Md Nasir

Lecturer, University of Malaya, Kuala Lumpur, Federal State, Malaysia