A remote image collecting to create initiative database with indexing and querying for enhance face recognition

Jaturawat, Phichaya; Pongmanawut, Pasinee; Phankokkruad, Manop

doi:10.1109/i4ct.2015.7219567

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…In distance learning applications, WebRTC can be integrated with existing learning systems, such as video conference features in an LMS or learning portal [24], [25]. Furthermore, WebRTC enables more functionalities, for example, for remote image data collection, by adding face and object detection in WebRTC implementation [26]- [28]. For MeetmEE development, an automatic engagement estimation module was integrated with WebRTC as a synchronous distance learning tool, as shown in Figure 2 and explained in the subsequent subsection.…”

Section: B Web Real-time Communications (Webrtc)mentioning

confidence: 99%

Design Principle of an Automatic Engagement Estimation System in a Synchronous Distance Learning Practice

Karimah,

Phan,

Miftakhurrokhmat

et al. 2024

IEEE Access

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Engagement is an essential component of the learning processes associated with positive learning outcomes. Measuring learner engagement in learning processes is important for providing insights for enhancing learning activities. Because the learning paradigm has shifted to enable more distance learning practices, machine learning-based automatic engagement estimation methods have been proposed as a new way to measure learner engagement. Nevertheless, most existing methods are built standalone and have yet to be integrated into actual distance learning practice. Furthermore, implementing automatic engagement estimation should ensure both technological and ethical impact responsibilities. In this article, we propose a design principle for the end-to-end integration of automatic engagement in distance learning practice. The MeetmEE system design was introduced to measure learners' emotional engagement in a synchronous distance learning practice. The MeetmEE prototype was deployed in a pilot experiment to evaluate the MeetmEE system design. Finally, the user evaluation results are considered to construct the design principle of ethical implementation. The design principle of the automatic engagement estimation implementation incorporates both technical and operational measures.

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