Development of Smart Glove Rehabilitation Device (SGRD) for Parkinson’s Disease
Mohd Aliff1, Mohamed Alif Dinie2, Ismail Yusof3, Nor Samsiah4

1Mohd Aliff*, Senior lecturer, Instrumentation and Control Engineering Section, Malaysian Institute of Industrial Technology, Universiti Kuala Lumpur, Malaysia.
2Mohamed Alif Dinie, Bachelor of Engineering Technology (Hons), Instrumentation and Control Engineering, Universiti Kuala Lumpur, Malaysian Institute of Industrial Technology (UniKL MITEC)
3Ismail Yusof, Head of Section of Instrumentation and Control engineering, Malaysian Institute of Industrial Technology, Universiti Kuala Lumpur, Malaysia.
4Nor Samsiah, Senior lecturer, Faculty of Information Science & Technology, Universiti Kebangsaan Malaysia (UKM)

Manuscript received on November 15, 2019. | Revised Manuscript received on 20 November, 2019. | Manuscript published on December 10, 2019. | PP: 4512-4518 | Volume-9 Issue-2, December 2019. | Retrieval Number: B9018129219/2019©BEIESP | DOI: 10.35940/ijitee.B9018.129219
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: Over the past decade, significant papers have shown that rehabilitation exercise is efficient in enhancing Parkinson’s disease efficiency. However, the previous devices in Parkinson Disease Rehabilitation are not very efficient as they are far too complicated, heavy in size, and difficult to conduct. This paper will focus on developing a smart rehabilitation hand device prototype using an Arduino microcontroller, to control the soft actuator by using pneumatic system and IOT system for the individual with Parkinson’s disease. The actuators are designed mechanically to match and support the human finger range as it features a lightweight structure, simplistic design, cost-effective and safer to use compared to other conventional actuators. A soft actuator, accelerometer sensor, pneumatic air valve and Arduino Mega were designed as a control hardware system to operate the smart rehabilitation glove. Therefore, this study will focus on obtaining data results based on the length of the single actuator, the bending angle of the actuator based on the applied pressure, the hand position of the accelerometer sensor based on the x, y, z-axis and the suitable pressure for the SGRD rehabilitation system for future research purposes. This prototype will assist the subject’s hand movement by improving the subject quality in helping the patient with Parkinson’s disorder recover. 
Keywords: Rehabilitation Hand Device, Parkinson’s Disease, soft Actuator,  Arduino Microcontroller, Accelerometer sensor.
Scope of the Article: Process & Device Technologies