RANCANG BANGUN SENDOK PARKINSON MENGGUNAKAN KALMAN FILTER

FADILLA, MUHAMMAD ANDIKA and Zarkasi, Ahmad (2020) RANCANG BANGUN SENDOK PARKINSON MENGGUNAKAN KALMAN FILTER. Diploma thesis, Sriwijaya University.

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Abstract

This research is intended to make a spoon-assisted food aid design specifically for Parkinson's sufferers. The design of the scoop of Parkinson's sufferers in this study uses a 3-Axis gyroscope accelerometer MPU-6050 sensor, ESP32 microcontroller, and SG-90 stepper motor to stabilize the position of the spoon due to the vibrations of Parkinson's sufferers. The data obtained from this study is the MPU-6050 sensor that detects the patient's hand vibrations and then the data is stabilized using the Kalman Filter method which serves to minimize errors on the MPU-6050 sensor.

Item Type:	Thesis (Diploma)
Uncontrolled Keywords:	ESP32, Kalman Filter, MPU-6050, Parkinson Diseases, Parkinson Spoon, SG-90.
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA166-167 Human engineering
Divisions:	09-Faculty of Computer Science > 56401-Computer Engineering (D3)
Depositing User:	Users 6648 not found.
Date Deposited:	27 Jul 2020 07:20
Last Modified:	27 Jul 2020 07:20
URI:	http://repository.unsri.ac.id/id/eprint/31800

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