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Fall Detection System by Using Ambient Intelligence and Mobile Robots
- Source :
- 2018 Zooming Innovation in Consumer Technologies Conference (ZINC).
- Publication Year :
- 2018
- Publisher :
- IEEE, 2018.
-
Abstract
- In this paper a robust Fall Detection Algorithm by using a deep learning approach and a low-cost mobile robot equipped with an RGB camera is presented. This method consists of four steps. The first step is the user detection, achieved by a real-time video stream and a Deep Learning approach. Once the user is detected, then its position is estimated in the second step. In the third step, if a fall is detected, a photo is acquired and a pre-registered audio message asks the user how he is. In the last step the photo and the audio captured are sent to a Telegram Bot (TB) in order to alert family members or caregivers. Tests have been performed in a real scenario.
Details
- Database :
- OpenAIRE
- Journal :
- 2018 Zooming Innovation in Consumer Technologies Conference (ZINC)
- Accession number :
- edsair.doi...........edb4013aa392e6a3d031bee1d6fa6c91