dc.contributor.advisor | Herodian, Sam | |
dc.contributor.author | Qodriyanzah, Mohamad Zaky | |
dc.date.accessioned | 2021-04-12T08:04:09Z | |
dc.date.available | 2021-04-12T08:04:09Z | |
dc.date.issued | 2020 | |
dc.identifier.uri | http://repository.ipb.ac.id/handle/123456789/106539 | |
dc.description.abstract | Human body measurement data is important in designing various tools for
humans, such as benches, workspace, driving room, agricultural tools and
machinery. Measurement of human body dimension is included in the subdiscipline
of ergonomics named anthropometry. The application of sensor and computer
technology enable anthropometric measurements to be contactless. This study was
aimed to conduct dynamic anthropometric measurements using Red, Green, Blue,
and Depth (RGB-D) sensors of the Kinect. The research began with the calibration
of the measurement system. Anthropometric measurements were performed on 110
subjects consisted of 55 men and 55 women. Dynamic anthropometric
measurements were conducted manually using the anthropolometer, beside the
skeletal tracking function of the Kinect measurement. The function of skeletal
tracking was applied to read 19 joints found in humans. The results of simple linear
regression shown the average correlation value of 110 subjects and 14 variables of
measurement was 0.7 and had a strong relationship between the result of manual
measurements with the result of measurements using the RGB-D sensor. In
addition, the error value based on the Mean Absolute Percentage Error (MAPE)
was 4.6% and the accuracy categorized as high. This results showed that dynamic
anthropometric measurement method using the RGB-D sensor was recommended
to be used. | id |
dc.description.abstract | Data dimensi tubuh manusia menjadi kebutuhan penting dalam merancang
berbagai alat untuk manusia, seperti bangku, ruang kerja, ruang kendali, alat dan
mesin pertanian. Ilmu ukur dimensi tubuh manusia termasuk dalam rumpun ilmu
ergonomika yang disebut antropometri. Pengaplikasian teknologi sensor dan
komputer memungkinkan pengukuran antropometri dapat dilakukan tanpa
sentuhan langsung. Penelitian ini bertujuan untuk melakukan pengukuran
antropometri dinamis dengan menggunakan sensor Red, Green, Blue, dan Depth
(RGB-D) pada Kinect. Penelitian ini diawali dengan tahap kalibrasi pada sistem
pengukuran. Pengukuran antropometri dinamis dilakukan pada 110 subjek
manusia yang terdiri dari 55 laki-laki dan 55 wanita. Pengukuran dengan metode
manual menggunakan antropolometer. Pengukuran menggunakan sensor RGB-D
dilakukan dengan fungsi skeletal tracking yang terdapat pada Kinect. Skeletal
tracking berfungsi dengan membaca 19 titik sendi yang terdapat pada manusia.
Hasil dari regresi linier sederhana menunjukkan rata–rata nilai korelasi dari 110
subjek dan 14 variabel pengukuran sebesar 0,7 dan memiliki kategori hubungan
yang kuat antara hasil pengukuran manual dengan hasil pengukuran menggunakan
sensor RGB-D. Selain itu, nilai galat berdasarkan Mean Absolute Percentage Error
(MAPE) sebesar 4,6 % dan memiliki kategori ketepatan tinggi. Hal tersebut
menunjukkan metode pengukuran antropometri dinamis menggunakan sensor
RGB-D dapat direkomendasikan. | id |
dc.language.iso | id | id |
dc.publisher | IPB University | id |
dc.title | Aplikasi Sensor RGB-D untuk Pengukuran Antropometri Dinamis | id |
dc.type | Undergraduate Thesis | id |
dc.subject.keyword | anthropometry | id |
dc.subject.keyword | RGB-D sensor | id |
dc.subject.keyword | skeletal tracking | id |