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dc.contributor.author Kaur, Amandeep
dc.contributor.author Garg, Deepi
dc.contributor.author Shah, Rajiv Ratn (Advisor)
dc.date.accessioned 2023-04-14T11:08:30Z
dc.date.available 2023-04-14T11:08:30Z
dc.date.issued 2022-05
dc.identifier.uri http://repository.iiitd.edu.in/xmlui/handle/123456789/1147
dc.description.abstract In 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.iso en_US en_US
dc.publisher IIIT-Delhi en_US
dc.subject Head pose detection en_US
dc.subject Head gesture recognition en_US
dc.subject Touchless typing en_US
dc.subject Beam search en_US
dc.subject Computer vision en_US
dc.subject Machine Learning en_US
dc.title Type your thoughts en_US


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