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Wearable Supernumerary Robotic Fingers (WSRF) for Hemiparesis Patient using Neural Network

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This Wearable Supernumerary Robotic Fingers (WSRF) is developed for helping hemiparesis patient to manipulate object using one healthy hand. The proposed of WSRF is controlled using Neural Network Regression. WSRF consist of flex sensor for measuring the bend of the finger, servo motor, and force sensing resistor (FSR) as well as Arduino MEGA. Neural Network is embedded into the Arduino MEGA for controlling the motion and haptic system.

The research team are:
1. Mochammad Ariyanto
2. Muhammad Mutoha
3. Zainal Arifin


Achmad Saiful Mujab says:

maju terus pantang mundur

amirul angkasawana says:


Felix Teodore says:

riset yang sangat bagus melanjutkan dari MIT

Anditto Waskitoputra says:

Bagus terus berinovasi

Vachzamil S says:

joss tenan mas

Novi Riyan says:


Kuncahyo says:

apik tenan

Muhammad Muzamil says:

Keren dah, Semoga bisa terus dikembangkan risetnya.

revki romadhon says:

luar biasa riset nya t.mesin undip makin keren

Hadianto Kuncoro says:

Namaku salah mas, keterlaluan >,<

Teguh Prabowo says:

Ganteng sekali masnya.

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