Models for rested touchless gestural interaction.

Guinness, Darren, 1990-

Models for rested touchless gestural interaction.

dc.contributor.advisor	Poor, G. Michael.
dc.creator	Guinness, Darren, 1990-
dc.date.accessioned	2015-09-04T13:36:17Z
dc.date.available	2015-09-04T13:36:17Z
dc.date.created	2015-08
dc.date.issued	2015-07-31
dc.date.submitted	August 2015
dc.date.updated	2015-09-04T13:36:17Z
dc.description.abstract	Touchless mid-air gestural interaction has gained mainstream attention with the emergence of off-the-shelf commodity devices such as the Leap Motion and the Xbox Kinect. One of the issues with this form of interaction is fatigue, a problem colloquially known as the "Gorilla Arm Syndrome.'' However, by allowing interaction from a rested position, whereby the elbow is rested on a surface, this problem can be limited in its effect. In this paper we evaluate 3 possible methods for performing touchless mid-air gestural interaction from a rested position: a basic rested interaction, a simple calibrated interaction which models palm positions onto a hyperplane, and a more complex calibration which models the arm's interaction space using the angles of the forearm as input. The results of this work found that the two modeled interactions conform to Fitts's law and also demonstrated that implementing a simple model can improve interaction by improving performance and accuracy.
dc.format.mimetype	application/pdf
dc.identifier.uri	http://hdl.handle.net/2104/9463
dc.language.iso	en
dc.rights.accessrights	Worldwide access
dc.rights.accessrights	Access changed 12/4/17
dc.subject	Gestural interaction. Gestural pointing.
dc.title	Models for rested touchless gestural interaction.
dc.type	Thesis
dc.type.material	text
local.embargo.lift	2017-08-01
local.embargo.terms	2017-08-01
thesis.degree.department	Baylor University. Dept. of Computer Science.
thesis.degree.grantor	Baylor University
thesis.degree.level	Masters
thesis.degree.name	M.S.