Flex Force Smart Glove for Therapy Treatment Using Arduino and Raspberry Pi

Chang Yi Neng; Mohamad Khairi Ishak; Ahmad Afif Ahmarofi

doi:10.1007/978-981-16-0866-7_44

Flex Force Smart Glove for Therapy Treatment Using Arduino and Raspberry Pi

Chang Yi Neng
, Mohamad Khairi Ishak
, Ahmad Afif Ahmarofi

Universiti Sains Malaysia
Universiti Malaysia Pahang Al-Sultan Abdullah

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The process of rehabilitation of a stroke patient is long and complex, yet it is necessary to recover the flexibility of muscle movement and reduce the risk of a recurrent stroke. Thus, this paper uses flex force smart gloves to assist physicians to remotely monitor the rehabilitation process of stroke patients via data collection gloves using flex sensors. In this work, Raspberry Pi is used to connect to the Internet and, in conjunction with the Arduino platform, to interface with the electronic components of the system. Performance analysis on Arduino and Raspberry Pi has shown that Arduino is capable of output data at an average interval of 1,785 ms at a baud rate of 115,200 baud. However, communication between Arduino and Raspberry Pi reduces performance to an average of 5,421 ms. In addition, this paper also demonstrated the ability of Raspberry Pi to perform complex processes without significant performance degradation in this application. The final system has shown its ability to read, process, record and relay data from the data gloves.

Original language	English
Title of host publication	Intelligent Manufacturing and Mechatronics - Proceedings of SympoSIMM 2020
Editors	Muhammad Syahril Bahari, Azmi Harun, Zailani Zainal Abidin, Roshaliza Hamidon, Sakinah Zakaria
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	511-523
Number of pages	13
ISBN (Print)	9789811608650
DOIs	https://doi.org/10.1007/978-981-16-0866-7_44
State	Published - 2021
Externally published	Yes
Event	3rd Symposium on Intelligent Manufacturing and Mechatronics, SympoSIMM 2020 - Perlis, Malaysia Duration: 10 Aug 2020 → 10 Aug 2020

Publication series

Name	Lecture Notes in Mechanical Engineering
ISSN (Print)	2195-4356
ISSN (Electronic)	2195-4364

Conference

Conference	3rd Symposium on Intelligent Manufacturing and Mechatronics, SympoSIMM 2020
Country/Territory	Malaysia
City	Perlis
Period	10/08/20 → 10/08/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Flex sensor
Microcomputer
Microcontroller
Smart Glove

Access to Document

10.1007/978-981-16-0866-7_44

Cite this

Neng, C. Y., Ishak, M. K., & Ahmarofi, A. A. (2021). Flex Force Smart Glove for Therapy Treatment Using Arduino and Raspberry Pi. In M. S. Bahari, A. Harun, Z. Zainal Abidin, R. Hamidon, & S. Zakaria (Eds.), Intelligent Manufacturing and Mechatronics - Proceedings of SympoSIMM 2020 (pp. 511-523). (Lecture Notes in Mechanical Engineering). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-16-0866-7_44

Neng, Chang Yi ; Ishak, Mohamad Khairi ; Ahmarofi, Ahmad Afif. / Flex Force Smart Glove for Therapy Treatment Using Arduino and Raspberry Pi. Intelligent Manufacturing and Mechatronics - Proceedings of SympoSIMM 2020. editor / Muhammad Syahril Bahari ; Azmi Harun ; Zailani Zainal Abidin ; Roshaliza Hamidon ; Sakinah Zakaria. Springer Science and Business Media Deutschland GmbH, 2021. pp. 511-523 (Lecture Notes in Mechanical Engineering).

@inproceedings{5cae9a01cfa3448380df9fc39224de62,

title = "Flex Force Smart Glove for Therapy Treatment Using Arduino and Raspberry Pi",

abstract = "The process of rehabilitation of a stroke patient is long and complex, yet it is necessary to recover the flexibility of muscle movement and reduce the risk of a recurrent stroke. Thus, this paper uses flex force smart gloves to assist physicians to remotely monitor the rehabilitation process of stroke patients via data collection gloves using flex sensors. In this work, Raspberry Pi is used to connect to the Internet and, in conjunction with the Arduino platform, to interface with the electronic components of the system. Performance analysis on Arduino and Raspberry Pi has shown that Arduino is capable of output data at an average interval of 1,785 ms at a baud rate of 115,200 baud. However, communication between Arduino and Raspberry Pi reduces performance to an average of 5,421 ms. In addition, this paper also demonstrated the ability of Raspberry Pi to perform complex processes without significant performance degradation in this application. The final system has shown its ability to read, process, record and relay data from the data gloves.",

keywords = "Flex sensor, Microcomputer, Microcontroller, Smart Glove",

author = "Neng, \{Chang Yi\} and Ishak, \{Mohamad Khairi\} and Ahmarofi, \{Ahmad Afif\}",

note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 3rd Symposium on Intelligent Manufacturing and Mechatronics, SympoSIMM 2020 ; Conference date: 10-08-2020 Through 10-08-2020",

year = "2021",

doi = "10.1007/978-981-16-0866-7\_44",

language = "English",

isbn = "9789811608650",

series = "Lecture Notes in Mechanical Engineering",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "511--523",

editor = "Bahari, \{Muhammad Syahril\} and Azmi Harun and \{Zainal Abidin\}, Zailani and Roshaliza Hamidon and Sakinah Zakaria",

booktitle = "Intelligent Manufacturing and Mechatronics - Proceedings of SympoSIMM 2020",

address = "Germany",

}

Neng, CY, Ishak, MK & Ahmarofi, AA 2021, Flex Force Smart Glove for Therapy Treatment Using Arduino and Raspberry Pi. in MS Bahari, A Harun, Z Zainal Abidin, R Hamidon & S Zakaria (eds), Intelligent Manufacturing and Mechatronics - Proceedings of SympoSIMM 2020. Lecture Notes in Mechanical Engineering, Springer Science and Business Media Deutschland GmbH, pp. 511-523, 3rd Symposium on Intelligent Manufacturing and Mechatronics, SympoSIMM 2020, Perlis, Malaysia, 10/08/20. https://doi.org/10.1007/978-981-16-0866-7_44

Flex Force Smart Glove for Therapy Treatment Using Arduino and Raspberry Pi. / Neng, Chang Yi; Ishak, Mohamad Khairi; Ahmarofi, Ahmad Afif.
Intelligent Manufacturing and Mechatronics - Proceedings of SympoSIMM 2020. ed. / Muhammad Syahril Bahari; Azmi Harun; Zailani Zainal Abidin; Roshaliza Hamidon; Sakinah Zakaria. Springer Science and Business Media Deutschland GmbH, 2021. p. 511-523 (Lecture Notes in Mechanical Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Flex Force Smart Glove for Therapy Treatment Using Arduino and Raspberry Pi

AU - Neng, Chang Yi

AU - Ishak, Mohamad Khairi

AU - Ahmarofi, Ahmad Afif

PY - 2021

Y1 - 2021

N2 - The process of rehabilitation of a stroke patient is long and complex, yet it is necessary to recover the flexibility of muscle movement and reduce the risk of a recurrent stroke. Thus, this paper uses flex force smart gloves to assist physicians to remotely monitor the rehabilitation process of stroke patients via data collection gloves using flex sensors. In this work, Raspberry Pi is used to connect to the Internet and, in conjunction with the Arduino platform, to interface with the electronic components of the system. Performance analysis on Arduino and Raspberry Pi has shown that Arduino is capable of output data at an average interval of 1,785 ms at a baud rate of 115,200 baud. However, communication between Arduino and Raspberry Pi reduces performance to an average of 5,421 ms. In addition, this paper also demonstrated the ability of Raspberry Pi to perform complex processes without significant performance degradation in this application. The final system has shown its ability to read, process, record and relay data from the data gloves.

AB - The process of rehabilitation of a stroke patient is long and complex, yet it is necessary to recover the flexibility of muscle movement and reduce the risk of a recurrent stroke. Thus, this paper uses flex force smart gloves to assist physicians to remotely monitor the rehabilitation process of stroke patients via data collection gloves using flex sensors. In this work, Raspberry Pi is used to connect to the Internet and, in conjunction with the Arduino platform, to interface with the electronic components of the system. Performance analysis on Arduino and Raspberry Pi has shown that Arduino is capable of output data at an average interval of 1,785 ms at a baud rate of 115,200 baud. However, communication between Arduino and Raspberry Pi reduces performance to an average of 5,421 ms. In addition, this paper also demonstrated the ability of Raspberry Pi to perform complex processes without significant performance degradation in this application. The final system has shown its ability to read, process, record and relay data from the data gloves.

KW - Flex sensor

KW - Microcomputer

KW - Microcontroller

KW - Smart Glove

UR - https://www.scopus.com/pages/publications/85111866466

U2 - 10.1007/978-981-16-0866-7_44

DO - 10.1007/978-981-16-0866-7_44

M3 - Conference contribution

AN - SCOPUS:85111866466

SN - 9789811608650

T3 - Lecture Notes in Mechanical Engineering

SP - 511

EP - 523

BT - Intelligent Manufacturing and Mechatronics - Proceedings of SympoSIMM 2020

A2 - Bahari, Muhammad Syahril

A2 - Harun, Azmi

A2 - Zainal Abidin, Zailani

A2 - Hamidon, Roshaliza

A2 - Zakaria, Sakinah

PB - Springer Science and Business Media Deutschland GmbH

T2 - 3rd Symposium on Intelligent Manufacturing and Mechatronics, SympoSIMM 2020

Y2 - 10 August 2020 through 10 August 2020

ER -

Neng CY, Ishak MK, Ahmarofi AA. Flex Force Smart Glove for Therapy Treatment Using Arduino and Raspberry Pi. In Bahari MS, Harun A, Zainal Abidin Z, Hamidon R, Zakaria S, editors, Intelligent Manufacturing and Mechatronics - Proceedings of SympoSIMM 2020. Springer Science and Business Media Deutschland GmbH. 2021. p. 511-523. (Lecture Notes in Mechanical Engineering). doi: 10.1007/978-981-16-0866-7_44

Flex Force Smart Glove for Therapy Treatment Using Arduino and Raspberry Pi

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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