Toward real time processing of Radar signals detecting Elderly People Fall<\/h2><\/span>

In this paper, we propose a new technique for real-time detection of elderly people falling. The technique is a combination of two different features: the power burst curve (PBC) and the acceleration of target. A CW Radar was used to calculate the spectrum of the moving\/falling elder using Short Time Fourier Transform (STFT). The long time series of raw radar is separated in to short enough time intervals so that the velocity could be considered approximately constant. This idea is similar to approximating a non-linear curve with a staircase. The window selection could be called \u201dtime gating\u201d or passing the long time-series through an orthogonal window.<\/div><\/div><\/section>\n\n\n\n

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Authors<\/strong><\/span>

Dimitrios Arnaoutoglou, Dimitris Dedemadis, Sotirios Katsimentes, Antigone Aikaterini Kyriakou, Athanasios Grekidis, Dimitrios Menychtas, Nikolaos Aggelousis, Georgios Ch. Sirakoulis, George Kyriacou<\/div><\/div><\/section>\n\n\n\n

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Conference<\/strong><\/strong><\/span>

2023 18th IEEE International Workshop on Cellular Nanoscale Networks and their Applications (CNNA)<\/div><\/div><\/section>\n<\/div>\n\n\n\n

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Availability <\/strong><\/strong><\/strong>Date<\/strong><\/strong><\/strong><\/span>

NA<\/div><\/div><\/section>\n<\/div>\n<\/div>\n\n\n\n

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