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Face Detection–Based Ergonomic Computer Workstation


Affiliations
1 ECE Department, Adamson University, Manila, Philippines
 

This paper presents a approach on how to reduce stress and fatigability in the user’s eyes, muscles and also backbone when the user is using a computer. The study uses image processing technique for the detection of the face of the user. The monitor of the desktop computer is connected with a DC motor that will auto align itself to the face of the user in order to make sure it is in front of the user’s face. If the user moves its head sideward the monitor will align and this will help the user to have movements of the bone and also muscles on its back. The movement of the monitor through the microcontroller and also the face detection part was programmed on the python software.

Keywords

Computer Workstation, Ergonomic, Face Detection, Image Processing.
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  • Face Detection–Based Ergonomic Computer Workstation

Abstract Views: 165  |  PDF Views: 1

Authors

Angelo A. Beltran
ECE Department, Adamson University, Manila, Philippines
Erick Powell S. Baldivicio
ECE Department, Adamson University, Manila, Philippines
Kathleen Zillah G. Espere
ECE Department, Adamson University, Manila, Philippines
Jhalysa Mae R. Maminta
ECE Department, Adamson University, Manila, Philippines
Kimberly D. Villostas
ECE Department, Adamson University, Manila, Philippines

Abstract


This paper presents a approach on how to reduce stress and fatigability in the user’s eyes, muscles and also backbone when the user is using a computer. The study uses image processing technique for the detection of the face of the user. The monitor of the desktop computer is connected with a DC motor that will auto align itself to the face of the user in order to make sure it is in front of the user’s face. If the user moves its head sideward the monitor will align and this will help the user to have movements of the bone and also muscles on its back. The movement of the monitor through the microcontroller and also the face detection part was programmed on the python software.

Keywords


Computer Workstation, Ergonomic, Face Detection, Image Processing.