Kalibrasi Orientasi Handglove Untuk Meningkatkan Akurasi Sensor Imu Pada Permainan Virtual Tour Dengan Metode Madgwick Filter

Putranto, Bagus Dai Putranto (2025) Kalibrasi Orientasi Handglove Untuk Meningkatkan Akurasi Sensor Imu Pada Permainan Virtual Tour Dengan Metode Madgwick Filter. Diploma thesis, Institut Teknologi Sepuluh Nopember.

Text 2040211097_Undergraduate_Thesis.pdf - Accepted Version Restricted to Repository staff only Download (4MB) | Request a copy

Abstract

Permainan virtual-tour dengan hand glove memungkinkan interaksi gerakan tangan di dunia virtual. Namun, sensor IMU sering mengalami kesalahan orientasi saat rotasi ekstrem, yang mengganggu akurasi. Penelitian ini menggunakan algoritma Madgwick untuk meningkatkan akurasi orientasi dengan menggabungkan data akselerometer, giroskop, dan magnetometer. Pengujian dilakukan dalam kondisi statis yaitu handglove posisi tidak digerakkan sedangkan dinamis handglove digerakkan dengan arah gerarakan tertentu, masing-masing dengan nilai beta. Nilai beta berfungsi sebagai parameter sensitivitas sensor. Hasil pada kondisi statis menunjukkan beta 0.1 yang paling optimal, sedangkan pada kondisi dinamis beta 0.2 menunjukkan yang paling optimal. Jarak transmisi efektif maksimal 8 meter. Metode ini terbukti meningkatkan akurasi dan stabilitas hand glove dalam aplikasi VR.
============================================================================================================================================
This research virtual-tour game using a hand glove enables hand movement interaction in a virtual environment. However, IMU sensors often suffer from orientation errors during extreme rotations, affecting accuracy. This study applies the Madgwick algorithm to enhance accuracy by fusing data from the accelerometer, gyroscope, and magnetometer. Testing was conducted under two conditions: static (the hand glove remained stationary) and dynamic (the glove moved in specific directions), each using different beta values. The beta value functions as a sensitivity parameter for the sensor. Results showed that a beta of 0.1 was most optimal in static conditions, while a beta of 0.2 performed best under dynamic conditions. The effective data transmission range was up to 8 meters. This method has proven to improve the accuracy and stability of the hand glove in VR applications.

Item Type:	Thesis (Diploma)
Uncontrolled Keywords:	Hand Glove, Virtual Reality, Sensor IMU, Kalibrasi Orientasi, Madgwick Filter, Hand Glove, Virtual Reality, IMU Sensor, Orientation Calibration, Madgwick Filter,
Subjects:	T Technology > T Technology (General)
Divisions:	Faculty of Vocational > 36304-Automation Electronic Engineering
Depositing User:	Bagus Dai Putranto
Date Deposited:	04 Aug 2025 09:17
Last Modified:	04 Aug 2025 09:17
URI:	http://repository.its.ac.id/id/eprint/125733

Actions (login required)

View Item