Browsing by Author "Alizaa Fatima"

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    Human fall detection
    (3rd International Conference UMT, Lahore, 2013) Syed Farooq Ali; Alizaa Fatima; Noman Nazar; Muhammad Muaz; Fatima Idrees
    Fall-induced injuries are common in the elderly population. Delay or lack of medical care after the occurrence of a fall often results in injuries, sometimes severe, and can also lead to death in some cases. Falls, therefore, are critical occurrences for the elderly. Detecting falls automatically, as they occur, can lead to better timed medical care which can in turn reduce the subsequent medical complications. In this paper we describe an effective fall detection system based on videos dataset generated using multiple cameras. Approach proposed in this paper outperforms in accuracy as compared to the other existing approach. It uses several images descriptors or features which are fed to a number of classifiers to detect falls.
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    Human fall detection system
    (University of Management and Technology, 2014) Alizaa Fatima; Fatima Idrees
    Human fall occurrences are seen as health disasters, especially when elderly people become its victim; as they are more prone to bad health conditions. Detection and notification of a fall, as soon as it occurs can be lifesaving. By detecting falls automatically, as they occur, better timed medical care can be given which can in turn reduce the subsequent medical complications. In this project we proposed an effective fall detection system based on a dataset of videos generated using multiple cameras. We have devised a camera based system for the purpose of detecting falls and indicating them. It detects falls from a video captured from the cameras installed in the suspected area where fall could occur, and then it notifies the concerned parties about the occurrence of the fall. A feature based approach is used that is novel and outperforms other existing approaches on fall detection in terms of accuracy.