Banca de QUALIFICAÇÃO: MILLENA MICHELY DE MEDEIROS CAMPOS

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : MILLENA MICHELY DE MEDEIROS CAMPOS
DATE: 04/09/2020
TIME: 14:00
LOCAL: Via video conferência
TITLE:

RF Signal Based Classification of Number of People in an Environment: A Machine Learning Approach

KEY WORDS:

People Counting, Radio Frequency, USRP, Machine Learning.

PAGES: 50
BIG AREA: Engenharias
AREA: Engenharia Elétrica
SUBÁREA: Telecomunicações
SPECIALTY: Sistemas de Telecomunicações
SUMMARY:

This work proposes a technique for counting people in an already populated environment. Initially, a survey is made of the technologies and solutions designed for this purpose. As a proof of concept, a counting solution is analyzed for a small number of people, applying machine learning to the descriptive statistics of an RF signal. Finally, the classification results are presented for a more realistic scenario, with up to 350 people in the environment, using a software-defined radio measurement system for data collection. The results show significant precision in counting the number of people by classification in groups of individuals.

BANKING MEMBERS:
Interno - 2524053 - ANTONIO LUIZ PEREIRA DE SIQUEIRA CAMPOS
Interno - 1412682 - VICENTE ANGELO DE SOUSA JUNIOR
Externo ao Programa - 1840342 - MARCIO EDUARDO DA COSTA RODRIGUES
Externo à Instituição - ÁLVARO AUGUSTO MACHADO DE MEDEIROS - UFJF