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I am currently working on a project that attempts to detect falls in an indoor room using a LiDAR sensor (A1M8), similar to this paper: https://ieeexplore.ieee.org/document/9298000 Does anyone have any previous experience with a similar project? I am currently in the data collection stage, but I am trying to decide which neural network architecture to use. From what I researched a LSTM or TCN are the best approaches, but I have also seen a CNN being used after transforming the LiDAR data to a 2D image: https://www.mdpi.com/1424-8220/24/2/626.
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