利用微软Kinect传感器通过肢体动作识别不同的紧急情况

2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM ) Pub Date : 2019-11-01 DOI:10.1109/HNICEM48295.2019.9073365

R. Tolentino, Pinky Mae F. Guinto, Dorothy Ysabelle B. Maypa

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引用次数: 3

摘要

这项研究旨在识别可能作为紧急情况指示的手势。不同的手势表示紧急情况已被观察和研究，将用作比较和识别的识别。本研究将紧急情况分为医疗、生命威胁和灾难三类。手势的获取使用了当今最新的摄像技术，也就是微软Kinect传感器。研究人员利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。对实际医疗紧急情况的手势识别将使用决策树算法完成。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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.

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来源期刊

2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM )

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