TY - GEN
T1 - Head Movement Detection Using Midpoint Distance for Navigation Menu
AU - Simarmata, Andika Kalvin
AU - Utaminingrum, Fitri
N1 - Publisher Copyright:
© 2021 ACM.
PY - 2021/10/5
Y1 - 2021/10/5
N2 - Disability is the inability of a person to perform a particular activity. One of the current disabilities is physically disabled. Physical disability is a condition where the limbs cannot carry out their functions due to abnormalities or defects in the muscle, bone, or joint system, resulting in impaired activity and mobilization. Most of the existing devices available are operated by hand, such as joysticks, remotes, menu selection on the LCD, etc. For this reason, solutions are needed that can facilitate and help people with disabilities. The solution offered to solve this problem is to create a system that can select the menu on display only by detecting the direction of head movement. Four directions can be detected, namely up, down, left, and right. Detection is done using a webcam and a facial landmark method based on midpoint distance. The accuracy of the system managed users without accessories is 82.66, and using accessories is 77.91. This is indicated by the average total accuracy obtained and computation time, 80.28 and 0.001s.
AB - Disability is the inability of a person to perform a particular activity. One of the current disabilities is physically disabled. Physical disability is a condition where the limbs cannot carry out their functions due to abnormalities or defects in the muscle, bone, or joint system, resulting in impaired activity and mobilization. Most of the existing devices available are operated by hand, such as joysticks, remotes, menu selection on the LCD, etc. For this reason, solutions are needed that can facilitate and help people with disabilities. The solution offered to solve this problem is to create a system that can select the menu on display only by detecting the direction of head movement. Four directions can be detected, namely up, down, left, and right. Detection is done using a webcam and a facial landmark method based on midpoint distance. The accuracy of the system managed users without accessories is 82.66, and using accessories is 77.91. This is indicated by the average total accuracy obtained and computation time, 80.28 and 0.001s.
KW - Disability
KW - distance
KW - facial landmark
KW - head movement
KW - navigation
UR - https://www.scopus.com/pages/publications/85125390632
U2 - 10.1145/3489088.3489106
DO - 10.1145/3489088.3489106
M3 - Conference contribution
AN - SCOPUS:85125390632
T3 - ACM International Conference Proceeding Series
SP - 171
EP - 175
BT - Proceedings of the 2021 International Conference on Computer, Control, Informatics and Its Applications - Learning Experience
PB - Association for Computing Machinery
T2 - 2021 International Conference on Computer, Control, Informatics and Its Applications - Learning Experience: Raising and Leveraging the Digital Technologies During the COVID-19 Pandemic, IC3INA
Y2 - 5 October 2021 through 7 October 2021
ER -