Identifying person's actions through Bluetooth
- 0 Collaborators
Project status: Under Development
Overview / Usage
Up to now, we have seen identifying person's motions by wearing smart devices. Through this Bluetooth beacon's behavior, we are differentiating among persons there action's without having any smart device using Machine learning techniques on real-time data.
Methodology / Approach
We are doing the experiments on our own and collecting Gb's of data from Bluetooth sniffer's by arranging sources at various corner's and filtering the needed data then passing it to machine learning tools to identify how well these beacons are useful for tracing person's action and differentiate between person's. A complete report on this project is posted on my LinkedIn.
Technologies Used
Ubertooth One,
Nordic Development Kits,
Python,
R programming.