Fall Detection of Riders using Inertial Sensors: A Smart Helmet

Registration ID: IJNRD_190947

Published ID: IJNRD2304217

DOI: Click Here to Get

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

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

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.

Published Paper   E-Certificate

B.KAVYA, A.V.SAI YASWANTH, M.HIMAJA, K.S.V.ABHILASH, & M.SUNEEL (April-2023). Fall Detection of Riders using Inertial Sensors: A Smart Helmet . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(4), c118-c122. https://ijnrd.org/papers/IJNRD2304217.pdf

Volume 8 Issue 4, April-2023

Pages : c118-c122

Paper Reg. ID: IJNRD_190947

Published Paper Id: IJNRD2304217

Downloads: 000121993

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

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

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

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