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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, 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) |
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| Paper Title: | Fall Detection of Riders using Inertial Sensors: A Smart Helmet |
| Authors Name: | B.KAVYA , A.V.SAI YASWANTH , M.HIMAJA , K.S.V.ABHILASH , M.SUNEEL |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_190947
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| Published Paper Id: | IJNRD2304217 |
| Published In: | Volume 8 Issue 4, April-2023 |
| DOI: | |
| 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. |
| Keywords: | Accelerometer, Classification, Fall Detection, Feature Extraction, Feature Selection, Gyroscope, Smart Helmet |
| Cite Article: | "Fall Detection of Riders using Inertial Sensors: A Smart Helmet ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 4, page no.c118-c122, April-2023, Available :http://www.ijnrd.org/papers/IJNRD2304217.pdf |
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| 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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Published Paper ID:IJNRD2304217 Registration ID: 190947 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: c118-c122 Country: spsr nellore, AP, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2304217 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2304217 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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