SENSOR VISUAL UNTUK DETEKSI POSISI JARI DAN TANGAN
Application of human hand gesture recognition technology has been widely used in various fields, one of them is robotics field. In this research a visual sensor system is designed to detect human fingers and hand positions. Finger and hand position are the main parameter that measured in this system...
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| Format: | Thesis |
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[Yogyakarta] : Universitas Gadjah Mada
2014
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| author | , ANJAR TRIYOKO , Ir. Balza Achmad, M.ScE. |
| author_facet | , ANJAR TRIYOKO , Ir. Balza Achmad, M.ScE. |
| author_sort | , ANJAR TRIYOKO |
| collection | UGM |
| description | Application of human hand gesture recognition technology has been widely
used in various fields, one of them is robotics field. In this research a visual sensor
system is designed to detect human fingers and hand positions.
Finger and hand position are the main parameter that measured in this
system. Fingertips and wrist hand are marked with different color to simplify the
process to detect finger and hand position. Fingertips markers in the image are
segmented with thresholding method. Then, centers of gravity of them are
identified to form a finger hand feature. The length of each finger vector and angle
between them during the open hand gesture become a reference for determining
value of vector finger length ratio and ratio of angle between finger vectors. Those
values become the main variable that used to represent the current position of
fingers movement.
System testing was done by using some data that have been varied based on
lighting levels, distance between hand and camera, and shape of hand as well.
From the tests result, effect to system performance by lighting level variations is
greater than the distance variations, with distance between hand and camera not
more than 1 m. The system success rate in detecting finger and hand position is
94.5%, while the system success rate in representing finger and hand position is
86.74%.
Keywords: telerobotic, robotic hand, visual sensor, image processing, finger and
hand detection, thresholding |
| first_indexed | 2024-03-13T23:24:37Z |
| format | Thesis |
| id | oai:generic.eprints.org:129377 |
| institution | Universiti Gadjah Mada |
| last_indexed | 2024-03-13T23:24:37Z |
| publishDate | 2014 |
| publisher | [Yogyakarta] : Universitas Gadjah Mada |
| record_format | dspace |
| spelling | oai:generic.eprints.org:1293772016-03-04T07:52:21Z https://repository.ugm.ac.id/129377/ SENSOR VISUAL UNTUK DETEKSI POSISI JARI DAN TANGAN , ANJAR TRIYOKO , Ir. Balza Achmad, M.ScE. ETD Application of human hand gesture recognition technology has been widely used in various fields, one of them is robotics field. In this research a visual sensor system is designed to detect human fingers and hand positions. Finger and hand position are the main parameter that measured in this system. Fingertips and wrist hand are marked with different color to simplify the process to detect finger and hand position. Fingertips markers in the image are segmented with thresholding method. Then, centers of gravity of them are identified to form a finger hand feature. The length of each finger vector and angle between them during the open hand gesture become a reference for determining value of vector finger length ratio and ratio of angle between finger vectors. Those values become the main variable that used to represent the current position of fingers movement. System testing was done by using some data that have been varied based on lighting levels, distance between hand and camera, and shape of hand as well. From the tests result, effect to system performance by lighting level variations is greater than the distance variations, with distance between hand and camera not more than 1 m. The system success rate in detecting finger and hand position is 94.5%, while the system success rate in representing finger and hand position is 86.74%. Keywords: telerobotic, robotic hand, visual sensor, image processing, finger and hand detection, thresholding [Yogyakarta] : Universitas Gadjah Mada 2014 Thesis NonPeerReviewed , ANJAR TRIYOKO and , Ir. Balza Achmad, M.ScE. (2014) SENSOR VISUAL UNTUK DETEKSI POSISI JARI DAN TANGAN. UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=69768 |
| spellingShingle | ETD , ANJAR TRIYOKO , Ir. Balza Achmad, M.ScE. SENSOR VISUAL UNTUK DETEKSI POSISI JARI DAN TANGAN |
| title | SENSOR VISUAL UNTUK DETEKSI POSISI JARI DAN TANGAN |
| title_full | SENSOR VISUAL UNTUK DETEKSI POSISI JARI DAN TANGAN |
| title_fullStr | SENSOR VISUAL UNTUK DETEKSI POSISI JARI DAN TANGAN |
| title_full_unstemmed | SENSOR VISUAL UNTUK DETEKSI POSISI JARI DAN TANGAN |
| title_short | SENSOR VISUAL UNTUK DETEKSI POSISI JARI DAN TANGAN |
| title_sort | sensor visual untuk deteksi posisi jari dan tangan |
| topic | ETD |
| work_keys_str_mv | AT anjartriyoko sensorvisualuntukdeteksiposisijaridantangan AT irbalzaachmadmsce sensorvisualuntukdeteksiposisijaridantangan |