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dc.contributor.advisorEng, Tony
dc.contributor.authorWang, Jennifer
dc.date.accessioned2022-08-29T15:52:47Z
dc.date.available2022-08-29T15:52:47Z
dc.date.issued2022-05
dc.date.submitted2022-05-27T16:18:50.376Z
dc.identifier.urihttps://hdl.handle.net/1721.1/144516
dc.description.abstractDue 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.
dc.publisherMassachusetts Institute of Technology
dc.rightsIn Copyright - Educational Use Permitted
dc.rightsCopyright MIT
dc.rights.urihttp://rightsstatements.org/page/InC-EDU/1.0/
dc.titleA Gesture Recognizing Tool for Virtual Presentations
dc.typeThesis
dc.description.degreeM.Eng.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
mit.thesis.degreeMaster
thesis.degree.nameMaster of Engineering in Electrical Engineering and Computer Science


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