Thesis (Ph. D.)--Columbia University, 1941. / Vita. Published also without thesis note. Reproduced from type-written copy.

Thesis (M.A.)--University of Wisconsin--Madison, 1975. / eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references.

No description available.

Being one of the most active research topics in the computer vision field, automatic human gesture recognition is receiving increasing attention driven by its promising applications, ranging from surveillance and human monitoring, human-computer interface (HCI), and motion analysis, etc. Segmentation and recognition of human dynamic gestures from continuous video streams is considered to be a highly challenging task due to the spatio-temporal variation and endpoint localization issues. In this thesis, we propose a Motion Signature, which is a 3D spatio-temporal surface based upon the evolution of a contour over time, to reliably represent dynamic motion. A Gesture Model, is then constructed by a set of mean and variance images of Motion Signatures in a multi-scale manner, which not only is able to accommodate a wide range of spatio-temporal variation, but also has the advantage of requiring only a small amount of training data. Three approaches have been proposed to simultaneously segment and recognize gestures from continuous streams, which mainly differ in the way that the endpoints of gestures are located. While the first approach adopts an explicit multi-scale search strategy to find the endpoints of the gestures, the other two employ Dynamic Programming (DP) to handle this issue. All the three methods are rooted in the idea that segmentation and recognition are actually the two aspects of the same problem, and that the solution to either one of them will lead to the solution of the other. This is novel to most methods in the literature, which separate segmentation and recognition into two phases, and perform segmentation before recognition by looking into abrupt motion feature changes. The performance of the methods has been evaluated and compared on two types of gestures: two arms movement and a single hand movement. Experimental results have shown that all three methods achieved high recognition rates, ranging from 88% to 96% for upper body gestures, with the last one outperforming the other two. The single hand experiment also suggested that the proposed method has the potential to be applied to the application of continuous sign language recognition. / Thesis (Ph.D, Electrical & Computer Engineering) -- Queen's University, 2010-09-24 19:27:43.316

No description available.

This thesis has contributed to the literature by providing a pathway to simplify the process of carrying out molecular dynamics simulation. As a part of the investigation, a user-friendly vision-augmented technique was developed to set up and carry out atomistic simulations using hand-gestures. The system is novel in its concept as it enables the user to directly manipulate the atomic structures on the screen, in 3D space using hand gestures, allowing the exploration and visualisation of molecular interactions at different relative conformations. The hand gestures are used to pick and place atoms on the screen allowing thereby the ease of preparing and carrying out molecular dynamics simulations in a more intuitive way. The end result is that users with limited expertise in developing molecular structures can now do so easily and intuitively by the use of body gestures to interact with the simulator to study the system in question. The proposed system was tested by performing parallel molecular dynamics simulations to study (i) crystal anisotropy of a diamond cubic substrate (crystalline silicon) using nanoindentation with a long-range (Screened bond order) Tersoff potential and (ii) crystal anisotropy of a body centre cubic metal (tantalum) using nanoindentation with an Embedded Atomic Method (EAM) type potential. The MD data was post-processed to reveal size effects observed in anisotropy of both these materials, namely, silicon and tantalum. The value of hardness and elastic modulus obtained from the MD data was found in accordance with what has been discovered previously by experiments, thereby validating the simulations. Based on this, it is anticipated that the proposed system will open up new horizons to the current methods on how an MD simulation is designed and executed.

Thesis (Ph. D.)--University of California, San Diego, 2006. / Title from first page of PDF file (viewed January 4, 2007). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references.

Thesis (M.A.)--Ohio State University. / Bibliography: leaves 97-106. Available online via OhioLINK's ETD Center

Meredith Monk's multi-modal work incorporates theatre, dance, film and music. Her claim is that music and specifically the voice lie at the heart of all her work. At this core, she uses auditory gesture in wordless vocal lines to express her meaning, usually the hidden narrative of emotion, to enable universal intelligibility. This thesis uses the concept of gestus in the sense of Brecht and Weill as an instrument to examine vocal gesture in three scenes in Monk's opera ATLAS, and then relates it to her compositional process. It also studies gestus in connection with Monk's biography and the influences on her especially Emile Jaques-Dalcroze and Antonin Artaud.

Mobile phones have formed a social network within the phone subscriber population by allowing the phone subscribers to exchange information. Nowadays, smartphones have been improved with a variety of functionalities, such as a built-in cameras, motion sensors, and Wi-Fi wireless connectivity to enable the phone subscriber to take photographs of a desired object for distribution to other users through SMS or email. These functionalities make the mobile phones the perfect tool in terms of viral marketing within cellular phone subscribers. This thesis proposes a novel methodology that allows the phone subscriber to perform gestures for image acquisition from public signage displays. The public display is signage which displays a list of images in chronological order. The signage distributes the image list to nearby phones in the form of datagrams by means of multi-casts. Additionally, Wi-Fi connection between the phone and the signage must be established to enable multi-cast. When the phone has the completed image list downloaded, the phone subscriber can point the phone at the signage and perform a dragging gesture once he sees the desired image displayed by the signage. The current state of the project has concluded the development of the application to achieve the aforementioned task. However, the development of data transmission from one phone to another is still ongoing. Further development in the future would enable another gesture for data distribution to other phones in the vicinity. Web-based administration applications have also been developed to manage the image list in the signage. Through this web-based application, the administrator can generate new image list and then upload it to a FTP server. When the updated image list is stored in a remote FTP server, the signage periodically retrieves the image list from the FTP server. After the signage has received the updated image list, it then distributes the image list in the form of datagrams by means of multicasts. In summary, this thesis documents the impact of such technology in viral marketing research.