Survey on Sound and Video Analysis Methods for Monitoring Face-to-Face Module Delivery

Abstract

The objective of this work is to identify unobtrusive methodologies that allow the monitoring and understanding of the educational environment, during face to face activities, through capturing and processing of sound and video signals. It is a survey on application and techniques that exploit these two signals (sound and video) retrieved in classrooms, offices and other spaces. We categorize such applications based upon the high level characteristics extracted from the analysis of the low level features of the sound and video signals. Through the overview of these technologies, we attempt to achieve a degree of understanding the human behavior in a smart classroom, on behalf of the students and the teacher. Additionally, we illustrate open-research points for further investigation.

Exploring quality attributes of smart classrooms from the perspectives of academics

“…Dai (2019) identifies convenience and deep interactions, while Di et al (2019) propose smart classrooms as useful for facilitating higher-order thinking. Other perspectives include the need to focus on the social and environmental constructs (Papadakis et al, 2019), and ease of access to required content via interactions with technology (Temdee, 2019). The diverse characterization prompts this study to approach smart classrooms in terms of their intelligent spaces meant to enhance learning, convenience in accessing content, presentation, interactions, and classroom management.…”

Recognition of Image in Different Cameras using an Improved Algorithm in Viola-Jones

“…The authors in [11], [12] and [13] mention that applications may vary in object recognition systems in a video surveillance system located at an intersection of roads, restaurants, education centers, shopping centers or any other public meeting place.…”