Paper Title

Fall Detection of Riders using Inertial Sensors: A Smart Helmet

Article Identifiers

Registration ID: IJNRD_190947

Published ID: IJNRD2304217

DOI: Click Here to Get

Authors

B.KAVYA , A.V.SAI YASWANTH , M.HIMAJA , K.S.V.ABHILASH , M.SUNEEL

Keywords

Accelerometer, Classification, Fall Detection, Feature Extraction, Feature Selection, Gyroscope, Smart Helmet

Abstract

A helmet is a protective headgear used by riders to make driving safer and avoid injuries. In this paper, a smart helmet is designed which is capable of detecting fall of riders and then transmitting a message through a global system of mobile (GSM) module along with the location of fall using global positioning system (GPS) avoiding delays to rescue. Inertial sensors, i.e., gyroscope and accelerometer sensors with a three axis sensing unit, are placed within the helmet and controlled via ARDUINO based microcontroller for fall detection. The designed helmet is used for data acquisition in 28 trials, and twenty-two statistical features are extracted from the recorded data. A subset of discriminating features are selected using the wrapper method and four different classifiers, i.e., Naïve Bayes, k-nearest neighbor, random forest, and support vector machine are applied on selected features to classify the two states i.e., fall and non-fall. It is evident from results that the Naïve Bayes classifies the fall of riders with the highest accuracy of 98.21%. The proposed methodology outperforms the existing state-of the-art fall detection techniques in terms of classification accuracy.

How To Cite

"Fall Detection of Riders using Inertial Sensors: A Smart Helmet ", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 4, page no.c118-c122, April-2023, Available :https://ijnrd.org/papers/IJNRD2304217.pdf

Issue

Volume 8 Issue 4, April-2023

Pages : c118-c122

Other Publication Details

Paper Reg. ID: IJNRD_190947

Published Paper Id: IJNRD2304217

Downloads: 000121120

Research Area: Engineering

Country: spsr nellore, AP, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2304217.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304217

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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Current Issue: Volume 10 | Issue 8

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