Live Demonstration: Vision-Based Real-Time Fall Detection System on Embedded System

摘要

In this paper, we proposed an implementation of fall detection system on Raspberry Pi with the Intel¯ Neural Compute Stick 2. Firstly, we used skeleton extraction algorithm to obtain the important skeleton information. Secondly, we proposed a robustness neural network using pruning method to reduce the parameter and calculation and combined with the neural compute stick to execute the module. The final result will transfer to the Raspberry Pi to display on the monitor. As a result, it can be implemented on the smaller embedded system.