Automatic crash detection for motor cycles

In this paper we present a concept for automated crash detection to motorcycles. In this concept, three different inertial measurement units are attached to head of the motorist, torso of the motorist and to the rear of the motor cycle. Crash dummy tests are done by throwing the dummy with different...

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Published inIECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society pp. 3409 - 3413
Main Authors Parviainen, Jussi, Colliri, Jussi, Pihlstrom, Timo, Takala, Jarmo, Hanski, Kari, Lumiaho, Aki
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2014
Subjects
Accelerometers
Automotive applications
Computer crashes
Context awareness
Measurement units
Motorcycles
Pattern recognition
Sensors
Vehicle crash testing
Vehicle safety
Wearable computers
Online AccessGet full text
ISSN1553-572X
DOI10.1109/IECON.2014.7049003

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Abstract In this paper we present a concept for automated crash detection to motorcycles. In this concept, three different inertial measurement units are attached to head of the motorist, torso of the motorist and to the rear of the motor cycle. Crash dummy tests are done by throwing the dummy with different altitudes to simulate the effect of crash to the motorist and real data is collected by driving the motorcycle. A maximum a posteriori classifier is trained to classify the crash and normal driving. The implemented prototype system shows promising results for automatic crash detection.
AbstractList In this paper we present a concept for automated crash detection to motorcycles. In this concept, three different inertial measurement units are attached to head of the motorist, torso of the motorist and to the rear of the motor cycle. Crash dummy tests are done by throwing the dummy with different altitudes to simulate the effect of crash to the motorist and real data is collected by driving the motorcycle. A maximum a posteriori classifier is trained to classify the crash and normal driving. The implemented prototype system shows promising results for automatic crash detection.
Author Lumiaho, Aki
Parviainen, Jussi
Colliri, Jussi
Pihlstrom, Timo
Takala, Jarmo
Hanski, Kari
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  surname: Lumiaho
  fullname: Lumiaho, Aki
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  organization: Ramboll Finland, Tampere, Finland
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Snippet In this paper we present a concept for automated crash detection to motorcycles. In this concept, three different inertial measurement units are attached to...
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StartPage 3409
SubjectTerms Accelerometers
Automotive applications
Computer crashes
Context awareness
Measurement units
Motorcycles
Pattern recognition
Sensors
Vehicle crash testing
Vehicle safety
Wearable computers
Title Automatic crash detection for motor cycles
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