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Recognition of Different Emergency Situation through Body Gesture Using Microsoft Kinect Sensor

机译:使用Microsoft Kinect传感器通过手势识别不同的紧急情况

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This study aim to recognize gestures that may serve as an indication for an emergency situation. Different gesture that indicates an emergency condition has been observe and studied that will be used as comparison and recognition for recognition. In this study emergency situation are classified into three category namely medical, life threating condition and disaster. The acquisition of gestures was done using the latest camera technology of today which is the MS Kinect sensor. The researchers used the skeletal tracking capability of the sensor to acquire data that will represent the movement or gesture of the person. The recognition of this gesture with respect to an actual medical emergency will be done using Decision tree algorithm.
机译:这项研究旨在识别可能表示紧急情况的手势。观察和研究了指示紧急情况的不同手势,这些手势将用作比较和识别。在这项研究中,紧急情况分为三类,即医疗,威胁生命的状况和灾难。手势的获取使用了当今最新的相机技术,即MS Kinect传感器。研究人员使用传感器的骨骼跟踪功能来获取代表人的运动或手势的数据。相对于实际医疗紧急情况的此手势的识别将使用决策树算法来完成。

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