Wulansari, Anita (2016) Pengembangan Database Temporal Dan Kinematik Gaya Gerak Dari Dua Sisi Organ Gerak Bawah Pada Tiga Gaya Berjalan Yang Berbeda. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Pada tugas akhir ini telah dikembangkan sebuah sistem pengukuran
parameter temporal dan kinematik gaya berjalan manusia. Sistem
dirancang menggunakan tiga jenis sensor, yaitu accelerometer,
gyroscope, dan Force Sensing Resistor (FSR). Accelerometer
dikombinasikan dengan gyroscope untuk megukur sudut yang dibentuk
oleh tubuh-paha (hip), paha-betis (knee), dan betis-telapak kaki (ankle).
FSR digunakan untuk mendeteksi gait event pada proses berjalan
manusia. Parameter temporal yang diukur adalah initial contact, foot-flat,
heel-off, toe-off, stance phase time, swing phase time, cycle time, dan
cadence pada setiap siklus berjalan. Sedangkan parameter kinematik
yang didapatkan pada bagian hip dan knee adalah sudut yang terbentuk
dari masing-masing persendian ketika initial contact, dan nilai sudut
maksimum extension dan flexion yang terukur dari masing-masing
persendian dan pada bagian ankle didapatkan hasil berupa nilai sudut
pada initial contact, dan nilai maksimum flexion pada setiap fase gait.
Analisa gait dilakukan dalam dua metode yaitu secara online (real time)
dan offline dari hasil pengukuran yang direkam oleh sistem sensor.
Pengujian dilakukan pada tiga jenis gerakan berjalan yaitu berjalan datar,
menaiki tangga, dan menuruni tangga. Berdasarkan pengujian tersebut,
didapatkan hasil rata-rata perbandingan durasi antara stance phase dan
swing phase adalah 70% dan 30%. Rata-rata range of motion terbesar
untuk hip terjadi pada gaya berjalan datar (-13.3o hingga 29.7o), untuk
knee terjadi pada gaya berjalan menuruni tangga (13o hingga 92.3o) dan
ankle pada gaya berjalan menaiki dan menuruni tangga sebesar 13.4o
hingga 36.2o. Sistem yang dikembangkan pada tugas akhir ini diharapkan
dapat digunakan pada penelitian lanjutan eksplorasi pola berjalan untuk
keperluan rekayasa rehabilitasi gerakan berjalan.
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In this final project, a human gait measurement system for temporal and
kinematic parameters has been developed. The system was designed
using three kinds of sensor, namely accelerometer, gyroscope, and Force
Sensing Resistor (FSR). The combination of accelerometer and
gyroscope were used to get an accurate measurement of three joints of
lower limbs: hip, knee, and ankle. Each joint is formed by body-thigh,
thigh-shank, and shank-foot segment of lower limb. FSR was used to
detect gait event in human walking process. Temporal parameters
measured were initial contact, foot-flat, heel-off, toe-off, stance phase
time, swing phase time, cycle time, and cadence for each stride. Whereas
the kinematic parameters were divided into three parts, hip, knee, and
ankle. Kinematic parameters of hip and knee are the angle formed from
each joint at initial contact and the value of maximum extension and
flexion angle of each joint. The parameters of ankle are the value of angle
at initial contact and the value of maximum flexion of each gait phase.
Gait analysis were performed in two methods that were online (real time)
and offline which were obtained from the measured result recorded by
the sensors. The experiments were performed for three different walking
patteern, which are flat walking, stair ascending, and stair descending.
Based on the experiments, it was shown that the average of stance phase
and swing phase were 70% and 30%. The largest average of the motion
range of hip was measured at flat walking styles (-13.3o to 29.7o), knee at
stair descending (13o to 92.3o), and ankle at both stair ascending and
descending (13.4o to 36.2o). The developed system in this final project was
expected to be used in exploring walking pattern for walking
rehabilitation purpose.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSE 005.74 Wul p |
| Uncontrolled Keywords: | Joint Angles, Gait Analysis, Gait Database |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science. EDP |
| Divisions: | Faculty of Industrial Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis |
| Depositing User: | Users 13 not found. |
| Date Deposited: | 02 Jun 2017 06:13 |
| Last Modified: | 27 Dec 2018 08:44 |
| URI: | http://repository.its.ac.id/id/eprint/41466 |
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