UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 6
June-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2206353


Registration ID:
403505

Page Number

d427-d430

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Title

Wearable Devices Based On E-textile For Swimmers

Abstract

Wearable detectors play an important part in healthcare operations. Further, the Body Sensor Network is a monitoring system extended to a health care environment grounded on IoMT technologies, composed of connected or implantable detectors. Medical remedy and general fitness are important rudiments of public health services. Thus, this paper suggested that Wearable Electromagnetic dimension systems help the clinicians in physical remedy track and assess important recovery criteria and performance pointers. The swimming medium is fluently captured by the movement of truck and branch action. Stir prisoner grounded on wearable inertial detectors is a promising fashion for insensibility training. To apply stir prisoner ways duly, a swimming stir evaluation system grounded on inertial stir prisoner technology is proposed. Our proposed system uses a multi sensitive data emulsion algorithm for insensibility station estimation, and the swimming posture is reconstructed in combination with a mortal biomechanical model. The system can capture insensibility lumbar chine in four competitive swimming styles. A kinematic analysis of lumbar chine movement indicates that the patterns of insensibility lumbar chine movement can be used to estimate training performance and give quantitative data for insensibility. Hence this approach concentrates on Cloud Supported Intermittent Neural Network (CA-RNN) with multi-target optimization fashion is substantially used to control the swimming movement and to balance the synapse weight between motor neuron.RNN is used for balancing the swimming stir and to control the weight transmission between the detector and motor neurons.

Key Words

Human biomechanical model, Motion capture, Inertial sensor, Sport training, IoMT technologies.

Cite This Article

"Wearable Devices Based On E-textile For Swimmers ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.d427-d430, June-2022, Available :http://www.jetir.org/papers/JETIR2206353.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Wearable Devices Based On E-textile For Swimmers ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppd427-d430, June-2022, Available at : http://www.jetir.org/papers/JETIR2206353.pdf

Publication Details

Published Paper ID: JETIR2206353
Registration ID: 403505
Published In: Volume 9 | Issue 6 | Year June-2022
DOI (Digital Object Identifier):
Page No: d427-d430
Country: Salem, Tamilnadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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