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    ARTICLE

    Deep Transfer Learning Driven Automated Fall Detection for Quality of Living of Disabled Persons

    Nabil Almalki1,2, Mrim M. Alnfiai1,3, Fahd N. Al-Wesabi4, Mesfer Alduhayyem5, Anwer Mustafa Hilal6,*, Manar Ahmed Hamza6

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 6719-6736, 2023, DOI:10.32604/cmc.2023.034417

    Abstract Mobile communication and the Internet of Things (IoT) technologies have recently been established to collect data from human beings and the environment. The data collected can be leveraged to provide intelligent services through different applications. It is an extreme challenge to monitor disabled people from remote locations. It is because day-to-day events like falls heavily result in accidents. For a person with disabilities, a fall event is an important cause of mortality and post-traumatic complications. Therefore, detecting the fall events of disabled persons in smart homes at early stages is essential to provide the necessary support and increase their survival… More >

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