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Wearable Multi-Sensor Gesture Recognition for Paralysis Patients

T. Thirumalai1 , S. Ramkumar2 , M. Selva Kumar3 , K. ArunGanesh M.E.4

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-12 , Page no. 122-127, Dec-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i12.122127

Online published on Dec 31, 2019

Copyright © T. Thirumalai, S. Ramkumar, M. Selva Kumar, K. ArunGanesh M.E. . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: T. Thirumalai, S. Ramkumar, M. Selva Kumar, K. ArunGanesh M.E., “Wearable Multi-Sensor Gesture Recognition for Paralysis Patients,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.12, pp.122-127, 2019.

MLA Style Citation: T. Thirumalai, S. Ramkumar, M. Selva Kumar, K. ArunGanesh M.E. "Wearable Multi-Sensor Gesture Recognition for Paralysis Patients." International Journal of Computer Sciences and Engineering 7.12 (2019): 122-127.

APA Style Citation: T. Thirumalai, S. Ramkumar, M. Selva Kumar, K. ArunGanesh M.E., (2019). Wearable Multi-Sensor Gesture Recognition for Paralysis Patients. International Journal of Computer Sciences and Engineering, 7(12), 122-127.

BibTex Style Citation:
@article{Thirumalai_2019,
author = {T. Thirumalai, S. Ramkumar, M. Selva Kumar, K. ArunGanesh M.E.},
title = {Wearable Multi-Sensor Gesture Recognition for Paralysis Patients},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2019},
volume = {7},
Issue = {12},
month = {12},
year = {2019},
issn = {2347-2693},
pages = {122-127},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4984},
doi = {https://doi.org/10.26438/ijcse/v7i12.122127}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i12.122127}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4984
TI - Wearable Multi-Sensor Gesture Recognition for Paralysis Patients
T2 - International Journal of Computer Sciences and Engineering
AU - T. Thirumalai, S. Ramkumar, M. Selva Kumar, K. ArunGanesh M.E.
PY - 2019
DA - 2019/12/31
PB - IJCSE, Indore, INDIA
SP - 122-127
IS - 12
VL - 7
SN - 2347-2693
ER -

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Abstract

The parallelized person cannot establish the communication with the normal person. For this process implement the wearable glove. While the implementation of through wearable glove which helps to communicate with normal persons. The main objectives of this project are to detect the position of fingers and give command to control the home appliances. It consists of a glove in which flex sensor and accelerometer sensor are attached to an electronic conditioning circuit. The glove can have several other applications such as :( 1) The recognition of sign language, (2) To control the electrical parameters. These progressions focus on studying and implement a system for measuring the finger position of one hand. It can be used in rehabilitation intention and here we concentrate on biomedical application which exhibit coordination among parallelized patient and doctor. So this is a simple and moderate system.

Key-Words / Index Term

Flex sensor, Graphical User Interface, Rehabilitation, Sensorized glove, Wireless communication

References

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