| dc.contributor.advisor | Eng, Tony | |
| dc.contributor.author | Wang, Jennifer | |
| dc.date.accessioned | 2022-08-29T15:52:47Z | |
| dc.date.available | 2022-08-29T15:52:47Z | |
| dc.date.issued | 2022-05 | |
| dc.date.submitted | 2022-05-27T16:18:50.376Z | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/144516 | |
| dc.description.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. | |
| dc.publisher | Massachusetts Institute of Technology | |
| dc.rights | In Copyright - Educational Use Permitted | |
| dc.rights | Copyright MIT | |
| dc.rights.uri | http://rightsstatements.org/page/InC-EDU/1.0/ | |
| dc.title | A Gesture Recognizing Tool for Virtual Presentations | |
| dc.type | Thesis | |
| dc.description.degree | M.Eng. | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| mit.thesis.degree | Master | |
| thesis.degree.name | Master of Engineering in Electrical Engineering and Computer Science | |