Eye Direction Detection as Wheelchair Navigation Using Faster R-Cnn

Riyandi Banovbi Putera Irsal; Blessius Sheldo Putra Laksono; Fitri Utaminingrum

doi:10.1145/3626641.3626665

Eye Direction Detection as Wheelchair Navigation Using Faster R-Cnn

Riyandi Banovbi Putera Irsal
, Blessius Sheldo Putra Laksono
, Fitri Utaminingrum

Faculty of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

In this life, many people with disabilities lose the opportunity to live better than others. especially people with physical disabilities who may not have mobility like us. Physical disability is caused by several things, some from birth or disease and also an accident. People with physical disabilities who have difficulty walking require a wheelchair to be able to move. However, hands and arms must be used to operate the wheelchair. We found a way to solve the problem. we plan to move the wheelchair with eyeball movement as navigation. this solution does not only solve the problem of physical disability. we can also reduce contact to often hold the wheelchair. To detect eyeball movement, we use the Faster R-CNN method. This method if we compare it with other methods has competitive accuracy. From the results we have, we get a mAP value of more than 0.853 from each class.

Original language	English
Title of host publication	SIET 2023 - Proceedings of the 8th International Conference on Sustainable Information Engineering and Technology
Publisher	Association for Computing Machinery
Pages	51-57
Number of pages	7
ISBN (Electronic)	9798400708503
DOIs	https://doi.org/10.1145/3626641.3626665
Publication status	Published - 24 Oct 2023
Event	8th International Conference on Sustainable Information Engineering and Technology, SIET 2023 - Bali, Indonesia Duration: 24 Oct 2023 → 25 Oct 2023

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	8th International Conference on Sustainable Information Engineering and Technology, SIET 2023
Country/Territory	Indonesia
City	Bali
Period	24/10/23 → 25/10/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Automatic Wheelchair
Disabled People
Eye Detection
Eyeball Movement Detection
Faster R-Cnn
Stroke

Access to Document

10.1145/3626641.3626665

Cite this

Irsal, R. B. P., Laksono, B. S. P., & Utaminingrum, F. (2023). Eye Direction Detection as Wheelchair Navigation Using Faster R-Cnn. In SIET 2023 - Proceedings of the 8th International Conference on Sustainable Information Engineering and Technology (pp. 51-57). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3626641.3626665

Irsal, Riyandi Banovbi Putera ; Laksono, Blessius Sheldo Putra ; Utaminingrum, Fitri. / Eye Direction Detection as Wheelchair Navigation Using Faster R-Cnn. SIET 2023 - Proceedings of the 8th International Conference on Sustainable Information Engineering and Technology. Association for Computing Machinery, 2023. pp. 51-57 (ACM International Conference Proceeding Series).

@inproceedings{1b6bf867693448668832cbf385a53156,

title = "Eye Direction Detection as Wheelchair Navigation Using Faster R-Cnn",

abstract = "In this life, many people with disabilities lose the opportunity to live better than others. especially people with physical disabilities who may not have mobility like us. Physical disability is caused by several things, some from birth or disease and also an accident. People with physical disabilities who have difficulty walking require a wheelchair to be able to move. However, hands and arms must be used to operate the wheelchair. We found a way to solve the problem. we plan to move the wheelchair with eyeball movement as navigation. this solution does not only solve the problem of physical disability. we can also reduce contact to often hold the wheelchair. To detect eyeball movement, we use the Faster R-CNN method. This method if we compare it with other methods has competitive accuracy. From the results we have, we get a mAP value of more than 0.853 from each class.",

keywords = "Automatic Wheelchair, Disabled People, Eye Detection, Eyeball Movement Detection, Faster R-Cnn, Stroke",

author = "Irsal, \{Riyandi Banovbi Putera\} and Laksono, \{Blessius Sheldo Putra\} and Fitri Utaminingrum",

note = "Publisher Copyright: {\textcopyright} 2023 ACM.; 8th International Conference on Sustainable Information Engineering and Technology, SIET 2023 ; Conference date: 24-10-2023 Through 25-10-2023",

year = "2023",

month = oct,

day = "24",

doi = "10.1145/3626641.3626665",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

pages = "51--57",

booktitle = "SIET 2023 - Proceedings of the 8th International Conference on Sustainable Information Engineering and Technology",

}

Irsal, RBP, Laksono, BSP & Utaminingrum, F 2023, Eye Direction Detection as Wheelchair Navigation Using Faster R-Cnn. in SIET 2023 - Proceedings of the 8th International Conference on Sustainable Information Engineering and Technology. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 51-57, 8th International Conference on Sustainable Information Engineering and Technology, SIET 2023, Bali, Indonesia, 24/10/23. https://doi.org/10.1145/3626641.3626665

Eye Direction Detection as Wheelchair Navigation Using Faster R-Cnn. / Irsal, Riyandi Banovbi Putera; Laksono, Blessius Sheldo Putra; Utaminingrum, Fitri.
SIET 2023 - Proceedings of the 8th International Conference on Sustainable Information Engineering and Technology. Association for Computing Machinery, 2023. p. 51-57 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Eye Direction Detection as Wheelchair Navigation Using Faster R-Cnn

AU - Irsal, Riyandi Banovbi Putera

AU - Laksono, Blessius Sheldo Putra

AU - Utaminingrum, Fitri

PY - 2023/10/24

Y1 - 2023/10/24

N2 - In this life, many people with disabilities lose the opportunity to live better than others. especially people with physical disabilities who may not have mobility like us. Physical disability is caused by several things, some from birth or disease and also an accident. People with physical disabilities who have difficulty walking require a wheelchair to be able to move. However, hands and arms must be used to operate the wheelchair. We found a way to solve the problem. we plan to move the wheelchair with eyeball movement as navigation. this solution does not only solve the problem of physical disability. we can also reduce contact to often hold the wheelchair. To detect eyeball movement, we use the Faster R-CNN method. This method if we compare it with other methods has competitive accuracy. From the results we have, we get a mAP value of more than 0.853 from each class.

AB - In this life, many people with disabilities lose the opportunity to live better than others. especially people with physical disabilities who may not have mobility like us. Physical disability is caused by several things, some from birth or disease and also an accident. People with physical disabilities who have difficulty walking require a wheelchair to be able to move. However, hands and arms must be used to operate the wheelchair. We found a way to solve the problem. we plan to move the wheelchair with eyeball movement as navigation. this solution does not only solve the problem of physical disability. we can also reduce contact to often hold the wheelchair. To detect eyeball movement, we use the Faster R-CNN method. This method if we compare it with other methods has competitive accuracy. From the results we have, we get a mAP value of more than 0.853 from each class.

KW - Automatic Wheelchair

KW - Disabled People

KW - Eye Detection

KW - Eyeball Movement Detection

KW - Faster R-Cnn

KW - Stroke

UR - https://www.scopus.com/pages/publications/85182395361

U2 - 10.1145/3626641.3626665

DO - 10.1145/3626641.3626665

M3 - Conference contribution

AN - SCOPUS:85182395361

T3 - ACM International Conference Proceeding Series

SP - 51

EP - 57

BT - SIET 2023 - Proceedings of the 8th International Conference on Sustainable Information Engineering and Technology

PB - Association for Computing Machinery

T2 - 8th International Conference on Sustainable Information Engineering and Technology, SIET 2023

Y2 - 24 October 2023 through 25 October 2023

ER -

Eye Direction Detection as Wheelchair Navigation Using Faster R-Cnn

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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