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Title: :  SMART PHONE BASED ACCIDENT DETECTION AND RESCUE SYSTEM
PaperId: :  4021
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 2 2017
DUI:    16.0415/IJARIIE-4021
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
SHYAM SUNDAR BNEW PRINCE SHRI BHAVANI COLLEGE OF ENGINEERING AND TECHNOLOGY
VELMURUGAN CNEW PRINCE SHRI BHAVANI COLLEGE OF ENGINEERING AND TECHNOLOGY
ANITHA SELVAKUMARNEW PRINCE SHRI BHAVANI COLLEGE OF ENGINEERING AND TECHNOLOGY

Abstract

COMPUTER SCIENCE AND ENGINEERING
Electronic compass, fall detection, global positioning system (GPS) system, smart phone, tri axial accelerometer.
The usage of technology has ended up being a value asset in the prosperity office. Nowadays, from PCs to mobile phones, advancement society in their activities, being these eventually or cooperatively. Because of these ideal circumstances, new research has make to make structures and applications to help with usage of mobile phones. This paper acquaints a route with manage recognize falls using unmistakeable proposed computations with the target of peopling with their prosperity and security. The system is made out of three one of a kind fragments: data gathering, range decision, and fall ID. It utilizes the wireless intrinsic sensors (accelerometer, whirligig) to recognize the region of the mobile phone in the customer’s body (mid-segment, pocket, holster, et cetera) and once a zone is perceived, the fall distinguishing proof portion happens. A general depiction on fall area system is given, including the differing sorts of sensors used nowadays. The proposed course of action is presented and depicted in wonderful unobtrusive component. A total accuracy of 81.3% was found out from the fall distinguishing proof proposed computation. The primary three regions to recognize a fall were: informing with a 95.8% fall area accuracy, pants side pocket with a 87.5% precision, and shirt mid-segment pocket with a 83.3%precision. In like manner an extra study was done using only the holster territory making an awesome 100% region decision accuracy.

Citations

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IJARIIE SHYAM SUNDAR B, VELMURUGAN C, and ANITHA SELVAKUMAR. "SMART PHONE BASED ACCIDENT DETECTION AND RESCUE SYSTEM" International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 2 2017 Page 201-204
MLA SHYAM SUNDAR B, VELMURUGAN C, and ANITHA SELVAKUMAR. "SMART PHONE BASED ACCIDENT DETECTION AND RESCUE SYSTEM." International Journal Of Advance Research And Innovative Ideas In Education 3.2(2017) : 201-204.
APA SHYAM SUNDAR B, VELMURUGAN C, & ANITHA SELVAKUMAR. (2017). SMART PHONE BASED ACCIDENT DETECTION AND RESCUE SYSTEM. International Journal Of Advance Research And Innovative Ideas In Education, 3(2), 201-204.
Chicago SHYAM SUNDAR B, VELMURUGAN C, and ANITHA SELVAKUMAR. "SMART PHONE BASED ACCIDENT DETECTION AND RESCUE SYSTEM." International Journal Of Advance Research And Innovative Ideas In Education 3, no. 2 (2017) : 201-204.
Oxford SHYAM SUNDAR B, VELMURUGAN C, and ANITHA SELVAKUMAR. 'SMART PHONE BASED ACCIDENT DETECTION AND RESCUE SYSTEM', International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 2, 2017, p. 201-204. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/SMART_PHONE_BASED_ACCIDENT_DETECTION_AND_RESCUE_SYSTEM_ijariie4021.pdf (Accessed : ).
Harvard SHYAM SUNDAR B, VELMURUGAN C, and ANITHA SELVAKUMAR. (2017) 'SMART PHONE BASED ACCIDENT DETECTION AND RESCUE SYSTEM', International Journal Of Advance Research And Innovative Ideas In Education, 3(2), pp. 201-204IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/SMART_PHONE_BASED_ACCIDENT_DETECTION_AND_RESCUE_SYSTEM_ijariie4021.pdf (Accessed : )
IEEE SHYAM SUNDAR B, VELMURUGAN C, and ANITHA SELVAKUMAR, "SMART PHONE BASED ACCIDENT DETECTION AND RESCUE SYSTEM," International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 2, pp. 201-204, Mar-App 2017. [Online]. Available: http://ijariie.com/AdminUploadPdf/SMART_PHONE_BASED_ACCIDENT_DETECTION_AND_RESCUE_SYSTEM_ijariie4021.pdf [Accessed : ].
Turabian SHYAM SUNDAR B, VELMURUGAN C, and ANITHA SELVAKUMAR. "SMART PHONE BASED ACCIDENT DETECTION AND RESCUE SYSTEM." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 2 ().
Vancouver SHYAM SUNDAR B, VELMURUGAN C, and ANITHA SELVAKUMAR. SMART PHONE BASED ACCIDENT DETECTION AND RESCUE SYSTEM. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : ]; 3(2) : 201-204. Available from: http://ijariie.com/AdminUploadPdf/SMART_PHONE_BASED_ACCIDENT_DETECTION_AND_RESCUE_SYSTEM_ijariie4021.pdf
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