Prototipe Kursi Roda Elektrik Dengan Kendali Joystick Dan Smartphone

Abstract

Wheelchairs are one of the walking aids for people with disabilities and also for people who are unable to move from one place to another. The purpose of this research was to build hardware and software into a wheelchair prototype that can be controlled with joysticks and smartphones and to know its performance. The method in making the final project consists of the stages of need identification, requirements analysis, system design, tool making, tool testing and data collection. Based on the testing that has been done, the results are obtained that the control input from the smartphone through the application and also the joystick produces the output of the wheelchair prototype movement according to the instructions that have been set as input. The maximum distance of the control system from the smartphone is 0-10 meters either with obstacles or without obstacles. The response of the wheelchair prototype device has an average error of 0.024. Smartphone applications that are used as controls can be installed on the latest Android version "Nougat" and 4 versions of Android below. The speed of the wheelchair prototype on the joystick control matches the value of the resistance issued by the joystick module. ABSTRAKKursi roda adalah salah satu alat bantu berjalan untuk orang-orang penyandang cacat kaki dan juga untuk orang yang tidak mampu berpindah dari satu tempat ke tempat lainya. Tujuan penelitian ini adalah untuk membangun perangkat keras dan perangkat lunak menjadi sebuah prototype kursi roda yang dapat dikendalikan dengan joystik dan smartphone serta mengetahui unjuk kerjanya. Metode dalam pembuatan proyek akhir terdiri dari tahap identifikasi kebutuhan, analisis kebutuhan, perancangan sistem, pembuatan alat, pengujian alat dan pengambilan data. Berdasarkan pengujian yang telah dilakukan, maka didapatkan hasil bahwa masukan pengendalian dari smartphone melalui aplikasi dan juga joystick menghasilkan keluaran gerakan prototype kursi roda sesuai instruksi yang telah diset sebagai masukan. Jarak maksimum sistem kontrol dengan smartphone sejauh 0-10 meter baik dengan halangan ataupun tanpa halangan. Respon perangkat prototype kursi roda memiliki ratarata eror sebesar 0,024. Aplikasi smartphone yang digunakan sebagai kendali dapat diinstal pada versi android terbaru "nougat" dan 4 versi android dibawahnya. Kecepatan prototype kursi roda pada kendali joystick sesuai dengan nilai resistansi yang dikeluarkan oleh modul joystick.

Smart Wheelchair Design for the Disables to Worship at the Mosque

“…Many fields of medical equipment in hospitals are starting to use modern tools in the field of electronics, to get results that are faster, more accurate, and more efficient (Anara, 2023). A wheelchair is one of the tools in the health sector that is used to provide convenience to individuals who have physical limitations, especially for those with leg disabilities and the inability to walk due to poor health conditions (Junior & Arifin, 2019).…”

Perancangan Sistem Monitoring Navigasi Kursi Roda Berbasis Mikrokontroler

“…Penelitian tentang navigasi kursi roda telah banyak dilakukan, mulai dari pemanfaatan sinyal anggota tubuh seperti sinyal otak, sinyal otot dan sinyal dari gerakan anggota tubuh [1] - [5] serta penambahan komponen seperti joystick telah dilakukan [6] dan [7]. Sinyal otak yang dihasilkan saat membayangkan gerakan tangan diakuisisi dengan menggunakan alat neuroconn.…”

“…Penelitian tentang penggunaan joystick sebagai navigasi kursi roda sebenarnya telah banyak dilakukan. Penggunaan joystick yang dipadukan dengan smartphone sebagai navigasi pada kursi roda berhasil dibuat [6]. Selain menggunakan joystick untuk navigasi, penambahan smartphone yang dikomunikasikan lewat bluethooth menjadi pilihan lain untuk navigasi kursi roda.…”

Implementation of Brain Computer Interface (BCI) as a Smart Wheelchair Motion Commands

“…So that, the user can move the wheelchair easily without power or another person's help. However, wheelchair with joystick controller used hand movements to operate it [6] and wheelchair with voice commands controller need clear pronunciations to operate it [5], so that people who have speech and hand disabilities e.g. who have paralysis or suffer from neuromuscular and neurological conditions such as amyotrophic lateral sclerosis, stroke, and spinal cord injuries cannot operate that wheelchairs.…”

“…Feature extraction is the stage to identify discriminative information on the brain that has been recorded. Classification is the stage of classifying signals into predetermined classes that take feature vectors into account [6]. The last stage is the application interface, which is the process of translating the classified signal into commands for connected devices such as bionic arms and wheelchairs [10].…”