Gait Assistive Aid For Parkinson’s Patients Edge-ML Approach

Gait Assistive Aid For Parkinson’s Patients Edge-ML Approach

Registration ID: IJNRD_219944

Published ID: IJNRD2404799

DOI: Click Here to Get

S. Abinaya , Kethu Sreeja , G. Balamurugan

Machine Learning, Sensor devices, Integrated Systems, Acceleration sensors, Artificial Intelligence.

This paper introduces an Enhanced Gait Support System (EGSS) tailored for individuals with Parkinson's disease (PD), utilizing advanced machine learning techniques—Directional Region of Change Convolution (DROCC) and Recurrent Neural Network with Pooling (RNNPool). EGSS aims to mitigate the complexities of gait disturbances in PD through real-time assistance and feedback. DROCC enables precise gait abnormality detection and characterization for personalized interventions, while RNNPool facilitates sequential data processing and feature extraction, adapting to individual gait patterns over time. EGSS offers personalized assistance, leveraging sensor fusion, feature extraction, and machine learning to meet unique patient needs. Real-time feedback ensures continuous monitoring and adjustment, fostering user engagement and intervention adherence. Evaluation through clinical trials demonstrates significant improvements in gait parameters and functional mobility. EGSS represents a significant stride in PD assistive technology, offering personalized solutions to address gait impairment complexities, powered by the robust integration of DROCC and RNNPool algorithms.

Published Paper   E-Certificate

"Gait Assistive Aid For Parkinson’s Patients Edge-ML Approach", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 4, page no.h914-h918, April-2024, Available :https://ijnrd.org/papers/IJNRD2404799.pdf

Volume 9 Issue 4, April-2024

Pages : h914-h918

Paper Reg. ID: IJNRD_219944

Published Paper Id: IJNRD2404799

Downloads: 000121138

Research Area: Engineering

Country: Chengalpattu, Tamil Nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404799.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404799

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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