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Accident Recognition Using Mobile Phone

dc.contributor.authorKansiz, A. Oguz
dc.contributor.authorGuvensan, M. Amac
dc.contributor.institutionauthorGÜVENSAN, Mehmet Amaç
dc.date.accessioned2026-06-27T13:20:58Z
dc.date.issued2013
dc.description.abstractLatest mobile phones bring many advantages to our daily life. These gadgets are usually equipped with multiple sensors, such as cameras, GPS, and accelerometers. The data collected from these sensors are used to develop several applications, such as face recognition, voice recognition, and daily activity analysis. Studies show that many accidents occur during daily activities, and we propose the idea that mobile phones can be used to recognize these accidents. Early intervention may reduce or eliminate the risk of fatal injury during an accident. In this study, we present a new mobile phone application designed for the recognition of small accidents and reporting the incident to appropriate authorities. Our test results show that the proposed system can recognize the events such as falling while walking or running with 99 percent success ratio.en
dc.identifier.isbn978-1-4673-5563-6; 978-1-4673-5562-9
dc.identifier.issn2165-0608
dc.identifier.urihttps://hdl.handle.net/20.500.14981/52056
dc.identifier.wos000325005300083
dc.language.isotur
dc.publisherIEEE
dc.relation.conference21st Signal Processing and Communications Applications Conference (SIU)
dc.relation.ispartof2013 21ST SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU)
dc.subjectAccelerometer
dc.subjectsensor
dc.subjectaccident recognition
dc.subjectsmart phone
dc.subjectAndroid
dc.subjectNETWORK
dc.subjectEngineering
dc.subjectTelecommunications
dc.titleAccident Recognition Using Mobile Phone
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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