Work

A Framework for Recognizing and Estimating Human Concentration Levels

Year: 2021

Type: preprint

Abstract: One of the major tasks in online education is to estimate the concentration levels of each student. Previous studies have a limitation of classifying the levels using discrete states only. The purpose of this paper is to estimate the subtle levels as specified states by using the minimum amount of body movement data. This is done by a framework composed of a Deep Neural Network and Kalman Filter. Using this framework, we successfully extracted the concentration levels, which can be used to aid lecturers and expand to other areas.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2104.11421

Authors: Lee, Woodo, Koo, Jakyung, Park, Nokyung, Kang, Pilgu, Shim, Jeakwon

Institution: Korea University

Language: English

Topic: Online Learning and Analytics

Subfield: Computer Science Applications

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

OpenAlex ID: W3157594602

Cites: 10

Cited by:

Related to: 20