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.

Other links

• Linkedin for project report