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Proceedings of the First International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India

Research Article

Human Body Part Detection and External Injury Prediction Using Convolutional Neural Network

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  • @INPROCEEDINGS{10.4108/eai.16-5-2020.2303952,
        author={Aliasgar  Haji and Riya  Saraf and Dipti  Pawade and Ashwini  Dalvi and Irfan  Siddavatam},
        title={Human Body Part Detection and External Injury Prediction Using Convolutional Neural Network},
        proceedings={Proceedings of the First  International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India},
        publisher={EAI},
        proceedings_a={ICASISET},
        year={2021},
        month={1},
        keywords={body part detection injury detection convolutional neural network (cnn)},
        doi={10.4108/eai.16-5-2020.2303952}
    }
    
  • Aliasgar Haji
    Riya Saraf
    Dipti Pawade
    Ashwini Dalvi
    Irfan Siddavatam
    Year: 2021
    Human Body Part Detection and External Injury Prediction Using Convolutional Neural Network
    ICASISET
    EAI
    DOI: 10.4108/eai.16-5-2020.2303952
Aliasgar Haji1,*, Riya Saraf1, Dipti Pawade1, Ashwini Dalvi1, Irfan Siddavatam1
  • 1: Department of Information Technology, K. J. Somaiya College of Engineering, Vidyavihar, Mumbai, India
*Contact email: mustafa.aliasgar@somaiya.edu

Abstract

Fake callers continue to disrupt emergency ambulance services in the state with its call center registering 7 percent fake calls every day on an average. This is a growing problem and it needs to be curbed at the earliest as it not only wastes the time of the operators but also keeps the line busy hence causing a delay in emergency services which may even result in the death of the victim. Hence, we propose a solution to validate whether the request for ambulance services is genuine or not. The main aim is to detect and identity from an image whether a human body part is present or not. Even if the image does not contain the entire human in any particular pose and only a part of his/her body is present. We also detect any visible external injury on the body part. This would be a proof of concept in the form of a machine learning model that can successfully detect feet, face, hands and any external injury present in the image provided to it.

Keywords
body part detection injury detection convolutional neural network (cnn)
Published
2021-01-27
Publisher
EAI
http://dx.doi.org/10.4108/eai.16-5-2020.2303952
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