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RETRACTED: A wireless IOT system towards gait detection technique using FSR sensor and wearable IOT devices

Sampath Dakshina Murthy Achanta (Department of Electronics and Communication Engineering, K L University, Guntur, India)
Karthikeyan T. (Department of Electronics and Communication Engineering, K L University, Guntur, India)
Vinoth Kanna R. (Department of Electronics and Communication Engineering, Vivekanandha College of Engineering for Women, Tiruchengode, India)

International Journal of Intelligent Unmanned Systems

ISSN: 2049-6427

Article publication date: 25 July 2019

Issue publication date: 14 January 2020

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This article was retracted on 12 Aug 2024.

Retraction notice

The publishers of International Journal of Intelligent Unmanned Systems wish to retract the article Achanta, S.D.M., T., K. and R., V.K. (2020), “A wireless IOT system towards gait detection technique using FSR sensor and wearable IOT devices”, International Journal of Intelligent Unmanned Systems, Vol. 8 No. 1, pp. 43-54. https://doi.org/10.1108/IJIUS-01-2019-0005

An internal investigation into a series of submissions has uncovered evidence that the peer review process was compromised. As a result of these concerns, the findings of the article cannot be relied upon. This decision has been taken in accordance with Emerald’s publishing ethics and the COPE guidelines on retractions. The authors would like to note that they agree with the retraction. The publishers of the journal sincerely apologize to the readers.

Abstract

Purpose

The recent advancement in gait analysis combines internet of things that provides better observations of person living behavior. The biomechanical model used for elderly and physically challenged persons is related to gait-related parameters, and the accuracy of the existing systems significantly varies according to different person abilities and their challenges. The paper aims to discuss these issues.

Design/methodology/approach

Deployment of wearable sensors in gait analysis provides a better solution while tracking the changes of the personal style, and this proposed model uses an electronics system using force sensing resistor and body sensors.

Findings

Experimental results provide an average gait recognition of 95 percent compared to the existing neural network-based gait analysis model based on the walking speeds and threshold values.

Originality/value

The sensors are used to monitor and update the predicted values of a person for analysis. Using IoT a communication process is performed in the research work by identifying a physically challenged person even in crowded areas.

Keywords

Citation

Achanta, S.D.M., T., K. and R., V.K. (2020), "RETRACTED: A wireless IOT system towards gait detection technique using FSR sensor and wearable IOT devices", International Journal of Intelligent Unmanned Systems, Vol. 8 No. 1, pp. 43-54. https://doi.org/10.1108/IJIUS-01-2019-0005

Publisher

:

Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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