Paper Title

FALL DETECTION & DAILY LIVING ACTIVITY RECOGNITION

Article Identifiers

Registration ID: IJNRD_190936

Published ID: IJNRD2304210

DOI: Click Here to Get

Authors

VYSHALI. S , Dr. S. Raja Mohamed

Keywords

elder fall detect, living activity recognition, convolutional neural network, dataset values.

Abstract

The number of elder people in countries were increasing in number due to cultural life. Most of them prefer in be independent and leads in fall. Fall was often leads in serious and even severe injuries which leads in cause death of elder people. In address that problem, since must be necessary to implement fall discovering systems. In that project, implementing a machine learning algorithm for fall discovery and living activity monitoring and recognition. Using acceleration with angular velocity datas from non private datasets are used in recognizing the 9 different activity which includes the fall and activity of frequently living. From the angular velocity with acceleration frequency domain features, datas, extracting time and providing a classification algorithms. The project proposes a machine learning algorithm for fall detecting and living activities recognizing, Convolution Neural Network was used in Classification. the first better contribution has been shown with the feature for fall discovery. More importantly, using the value of mean for acceleration and achieving the fall discovery accurate and precisions as best one. Even though, value of mean for acceleration was not shown a new appearance since was pointed in previously proposals in classify ADLs, the value of mean of the triaxial acceleration is not utilizing as the features of classification the entire falls.

How To Cite

"FALL DETECTION & DAILY LIVING ACTIVITY RECOGNITION", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 4, page no.c67-c72, April-2023, Available :https://ijnrd.org/papers/IJNRD2304210.pdf

Issue

Volume 8 Issue 4, April-2023

Pages : c67-c72

Other Publication Details

Paper Reg. ID: IJNRD_190936

Published Paper Id: IJNRD2304210

Downloads: 000121122

Research Area: Engineering

Country: coimbatore, Tamil Nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2304210.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304210

About Publisher

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

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Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

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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Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

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