Department of Computer Science
http://hdl.handle.net/2104/4770
2016-05-05T16:12:36ZModels for rested touchless gestural interaction.
http://hdl.handle.net/2104/9463
Models for rested touchless gestural interaction.
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.
2015-07-31T00:00:00ZGiving the users a hand : towards touchless hand gestures for the desktop.
http://hdl.handle.net/2104/9157
Giving the users a hand : towards touchless hand gestures for the desktop.
Hari Haran, Alvin Jude.
Touchless, mid-air, gesture-based interactions have recently moved out of laboratories and Hollywood movies and into the hands of users. There is little difference in the interaction style and techniques used today from that of the 1980's, despite advances in the technology enabling this interaction. For this interaction to achieve mainstream popularity, and to be as ubiquitous as the keyboard or the mouse, common problems such as the "Gorilla Arm Syndrome'' will have to be addressed. Additionally, the common use-case such as gestural navigation, selection, and manipulation will need to be improved and eventually standardized. This thesis presents solutions to existing problems and introduces possible interaction techniques that allows users to perform the actions above. This is expected to pave the way for touchless mid-air hand gestures to be a ubiquitous form of interaction on the desktop.
2014-09-05T00:00:00ZRecommendations Made Easy
http://hdl.handle.net/2104/9122
Recommendations Made Easy
Guinness, Darren; Karbasi, Paniz; Nazarov, Rovshen; Speegle, Greg
Fueled by ever-growing data, the need to provide recommendations for consumers, and the considerable domain knowledge required to implement distributed large scale graph solutions we sought to provide recommendations for users with minimal required knowledge. For this reason in this paper we implement a generalizable 'API-like' access to collaborative filtering. Three algorithms are introduced with three execution plans in order to accomplish the collaborative filtering functionality. Execution is based on memory constraints for scalability and our initial tests show promising results. We believe this method of large-scale generalized 'API-like' graph computation provides not only good trade-off between performance and required knowledge, but also the future of distributed graph computation.
2014-06-23T00:00:00ZMatrix Representations of GF(p[superscript n]) over GF(p)
http://hdl.handle.net/2104/8928
Matrix Representations of GF(p[superscript n]) over GF(p)
Maurer, Peter M.
We show that any non-singular nxn matrix of order p[superscript n]-1 over GF(p) is a generator of a matrix representation of GF(p[superscript n]). We also determine the number of matrix representations of GF(p[superscript n])GF(p) over GF(p), and then number of order p[superscript n]-1 matrices in the general linear group of degree n over GF(p). The theorems are easily generalizable to arbitrary field extensions.
2014-01-31T00:00:00Z