Parkinson hand tremor identification method based on event camera
A technology of hand tremor and recognition method, which is applied in the fields of medical health and computer vision, can solve problems such as difficult to capture clear images, overexposure, motion blur, etc., and achieve the effect of protecting patient privacy, less impact of light, and no motion blur
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[0043] This embodiment uses the event camera to collect video data for feature extraction, realizes the non-invasive diagnosis of Parkinson's tremor detection, and avoids overexposure, underexposure or motion blur, etc. existing in the process of photographing Parkinson's hand tremor with traditional cameras. This phenomenon also greatly protects the privacy of patients. The specific implementation methods are as follows: figure 1 shown, can include the following steps:
[0044] Step 1: Use a tripod to fix the event camera Celex5 or DVS356 in the indoor scene, connect the event camera to the computer through the usb interface, and collect data through the DV platform. Start the DV software and connect the output of the event camera directly to the visualizer; select the Record configuration in the left sidebar of DV, the current configuration will be replaced with the standard recording configuration; record all events, frames, imu, and trigger data from the event camera;
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