A Gesture Recognizing Tool for Virtual Presentations
Name
Wang-jennwang-meng-eecs-2022-thesis.pdf
Description
Thesis PDF
Size
55.56 MB
Format
Adobe PDF
Checksum (MD5)
217d30bb651a1c4e0d0e2fc5a4624e84
Author(s)
Wang, Jennifer
Advisor(s)
Eng, Tony
Date Issued
May 2022
Publisher
Massachusetts Institute of Technology
Abstract
Due to the format of many common video-conferencing platforms used to deliver virtual presentations, the speaker is often placed far away in the user interface of the video-conferencing platform from the slides they are presenting. As a result, there is a strong lack of connection between the speaker and their visual content during virtual presentations. However, a virtual presentation also provides a format where recent technology can be used to elevate what normally is a point-and-click talk with slides. This work presents a new system for virtual presentations that will be more engaging and more interactive for both the audience and the speaker. By utilizing a LeapMotion sensor for gesture tracking, we can implement a web app that can be combined with slides and video input to decrease the distance between a speaker and their visual content.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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In Copyright - Educational Use Permitted
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