Please use this identifier to cite or link to this item: http://repository.iiitd.edu.in/xmlui/handle/123456789/1147
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dc.contributor.authorKaur, Amandeep-
dc.contributor.authorGarg, Deepi-
dc.contributor.authorShah, Rajiv Ratn (Advisor)-
dc.date.accessioned2023-04-14T11:08:30Z-
dc.date.available2023-04-14T11:08:30Z-
dc.date.issued2022-05-
dc.identifier.urihttp://repository.iiitd.edu.in/xmlui/handle/123456789/1147-
dc.description.abstractIn the digital age, being able to type becomes an irreplaceable skill. The project focuses on creating efficient systems that allow people with disabilities below the neck or in the four limbs to type using their head movements alone. The field has gained a lot of attention in recent years and has given systems that allow a user to choose a character in 2-3 head motions. Our project uses one head motion per character by using cluster sequences to find possible character sequences or words. In the previous paper, the system showed an accuracy of 98.81% in crossuser testing. We now propose changes to the system which allow us to get an improvement over the previous results.en_US
dc.language.isoen_USen_US
dc.publisherIIIT-Delhien_US
dc.subjectHead pose detectionen_US
dc.subjectHead gesture recognitionen_US
dc.subjectTouchless typingen_US
dc.subjectBeam searchen_US
dc.subjectComputer visionen_US
dc.subjectMachine Learningen_US
dc.titleType your thoughtsen_US
Appears in Collections:Year-2022

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