Demo: P-Fall: Personalization Pipeline for Fall Detection

Anne H. H. Ngu, Awatif Yasmin, Tarek Mahmud, Adnan Mahmood, Quan Z. Sheng · 2023

We present an edge-cloud collaborative personalized fall detection pipeline called P-Fall. A personalized fall detection model requires real-time adaptation of a pre-trained model using real-time feedback data provided by the user. We, herein, highlight the design of the software architecture for a collaborative framework, the smart-watch's UI for the ease of collecting a user's feedback data, and the automation of the personalization process.

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