TY - GEN
T1 - Artificial-Intelligence-Based School Assistant for Detecting the Behavior of University Students
AU - Lopez-Carreno, Joseph
AU - Calvo-Lavado, Cristhian
AU - Azpilcueta-Vasquez, Manuel
AU - Zarate-Perez, Eliseo
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In this study, we programmed an artificial-intelligence-based school assistant and integrated it with the structure of surveillance cameras and loudspeakers in a university classroom. This was done to complement the supervision conducted by university teachers to identify student distractions, ensure proper use of protective equipment, and evaluate threatening behaviors, such as confrontations between students. The virtual assistant was developed using Python and generated audio warnings via a loudspeaker through a graphical interface built using the PyCharm environment. The results demonstrated the functionality desired from the virtual assistant and its ability to meet the requirements of a university classroom. Therefore, the effectiveness of the YOLO v5 network and PyCharm, used for training and execution, respectively, at constructing and deploying such a framework was demonstrated.
AB - In this study, we programmed an artificial-intelligence-based school assistant and integrated it with the structure of surveillance cameras and loudspeakers in a university classroom. This was done to complement the supervision conducted by university teachers to identify student distractions, ensure proper use of protective equipment, and evaluate threatening behaviors, such as confrontations between students. The virtual assistant was developed using Python and generated audio warnings via a loudspeaker through a graphical interface built using the PyCharm environment. The results demonstrated the functionality desired from the virtual assistant and its ability to meet the requirements of a university classroom. Therefore, the effectiveness of the YOLO v5 network and PyCharm, used for training and execution, respectively, at constructing and deploying such a framework was demonstrated.
KW - artificial intelligence
KW - school assistant
KW - student monitoring
KW - teaching assistant
KW - university education
UR - https://www.scopus.com/pages/publications/85144154535
U2 - 10.1109/ICALTER57193.2022.9964801
DO - 10.1109/ICALTER57193.2022.9964801
M3 - Conference contribution
AN - SCOPUS:85144154535
T3 - Proceedings of the 2022 IEEE 2nd International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2022
BT - Proceedings of the 2022 IEEE 2nd International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2022
T2 - 2nd IEEE International Conference on Advanced Learning Technologies on Education and Research, ICALTER 2022
Y2 - 16 November 2022 through 19 November 2022
ER -