@inproceedings{334cdf6568ac44aabc5735f4985606c0,
title = "Live demonstration: Vision-based real-time fall detection system on embedded system",
abstract = "In this paper, we proposed an implementation of fall detection system on Raspberry Pi with the Intel{\textregistered} 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.",
keywords = "CNN, Fall detection, Neural compute stick2, Raspberry pi",
author = "Tsai, {Tsung Han} and Hsu, {Chin Wei} and Wan, {Wei Chung}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE; 52nd IEEE International Symposium on Circuits and Systems, ISCAS 2020 ; Conference date: 10-10-2020 Through 21-10-2020",
year = "2020",
language = "???core.languages.en_GB???",
series = "Proceedings - IEEE International Symposium on Circuits and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 IEEE International Symposium on Circuits and Systems, ISCAS 2020 - Proceedings",
}