Thesis (Ph. D.)--University of Toronto, 2005.

Thesis (Ph. D.)--University of Canterbury, 2008. / Typescript (photocopy). Includes bibliographical references (p. 169-183). Also available via the World Wide Web.

Thesis (Ph.D.)--Memorial University of Newfoundland, 2002. / Bibliography: leaves 167-196.

A dissertation submitted to the Faculty of Engineering and the Built Environment, University of Witwatersrand, Johannesburg, in fulfilment of the requirements for the degree of Master of Science in Engineering, Johannesburg, June 2019 / Data from wearable proximity sensors can be used to measure and describe social contact patterns between individuals in a household. Previous work describing contact patterns, has been qualitative and relies on visual, subjective observations. Data of this kind has been collected for a short period of measurement ranging from 2-3 days. An automated, quantitative analysis of contact patterns could enable an accurate and new representation of social contact patterns. Data was collected from ten households, for 21 days in a pilot study implemented in South Africa. 20 datasets were analysed, representing contact events of 20 individuals. Principal Component Analysis was implemented to determine the similarity of contact events across the days of the experiment and to estimate the minimum number of days required to be sampled, to validly represent an individual’s contact activity. The results show that there is a great variation in contact activity across the days of the experiment, as represented by the number of clusters of similar days. The minimum number of days required was determined by the number of days that had a significant contribution to the first three principal components and this varied across individuals from 5 – 11 days. Further analysis on a larger cohort has a potential to provide better social contact parameters for complex social behavioural models and may assist in understanding transmission dynamics of respiratory pathogens, needed in public health research. / PH2020

This thesis measured the mental workload associated with operating a voice activated software application run on wearable computer under five different communication styles (buttons, command line, icon buttons, icon text menus, and text menus). The goal of this thesis was to determine which communication style would be best allow wearable computer users to simultaneously perform other non-computer tasks. Thirty subjects were randomly assigned to using one of five software versions (n = 6), each of which utilized a unique communication style. The mental workload associated with operating each version was assessed by monitoring the performance of secondary tasks. Secondary tasks consisted of completing a block assembly, digit subtraction, and walking along a marked pathway. Each secondary task was performed twice by itself and once while operating one of the software versions, creating a total of nine trials per subject. Block assembly task performance measures included average assembly time, percentage correct blocks, and percentage correct blocks attempted. Digit subtraction measures included percentage of correct digits. And path walking measures included average walking speed. Subjective estimates of mental workload were also collected for those trials in which subjects operated the wearable computer and performed physical tasks using the NASA Task Load Index (TLX). Finally, usability information was collected for each software version via a questionnaire form. Each of the five versions of the experimental software application was operationally identical to the others, but utilized a separate communication style. The button version displayed available functions via sets of labeled buttons in the control screen. The icon button version replaced the appearance of these buttons with labeled icons. The text menu version displayed available functions textually via a pull down main menu. The icon text version displayed appended icons to the left of each main menu item. Finally, the command line version displayed no labels, buttons, menus, or icons for any functions. The experimental software was designed as a day planner/scheduling application used to set reminder dates on a calendar, edit task lists, and edit phone listings. Under the multiple resource view of mental workload, it was hypothesized that the different versions and secondary tasks would demand distinct types of mental resource and, consequently, that mental workload would be observed as lowest when the version and secondary task demanded different types of mental resources. In contrast, it was also hypothesized that mental workload would be observed as highest when the version and secondary task demanded the same type of mental resources. Although separate one way ANOVAs performed on all secondary task measures failed to indicate statistically significant differences in mental workload across the versions, secondary task performance was consistently observed as best for subjects using the icon button version. Analysis of NASA TLX subscale data indicated that the block assembly task was rated as requiring less effort and the digit task rated as requiring less mental demand when the icon button version was used. These results generally support using an icon button communication style for wearable computer software applications. Results of this study are applicable to the design of the user interface of wearable computers. These results not only report subjective and objective measures for assessing the amount of mental effort associated with operating a wearable computer and performing various physical tasks simultaneously, but also provide estimates for determining the amount of physical task performance decrement to expect when wearable computer are also operated. Such data may be used to determine human factors guidelines for matching wearable computer interfaces to physical tasks so that interference between the two is minimal. / Master of Science

Thesis (Ph. D.)--University of Oregon, 2002. / Typescript. Includes vita and abstract. Includes bibliographical references (leaves 242-256). Also available for download via the World Wide Web; free to University of Oregon users.

The explosive growth of the biosensors and health-related wearable monitoring devices has accentuated the need for miniaturized, high-efficiency conformal bio-modules that can operate over a wide range of frequencies, while they can be integrated in wearable and lightweight configurations. One of the major issue for the implementation of Wireless Body Area Networks (WBAN) is the very limited range of commonly used metal antennas. Due to the high dielectric constant between the metal antenna material (as well as the metal-based circuitry) and the mostly "ionized-water" human body parts, the near-field gets significantly disturbed, while local reflections due to the dielectric mismatch further shorten the operation range. Even wearable bracelet-like sensing devices have a very low range due to this reason. Thus, there are two major aspects that are going to be addressed in this Thesis: enhanced-range wearable antennas for wireless biosensors and compact "rugged-polarization" wireless sensor readers.

This thesis focuses on systems for mediated communication that run on mobile technology. The aim has been to give an answer to the question about what require- ments there are for situation awareness for domain experts when communication is secondary and supports the primary task. This thesis originated in a critical approach to the common practice of design- ing mediated communication systems with the face-to-face meeting as a guiding scenario. Instead, this thesis explores a design process that is based on the task and the strength of the technology itself. Different tasks do, of course, make different de- mands on a system, and a task that is strongly connected to the face-to-face meeting will probably be best served by a system that is designed from that perspective. Three cases that are presented in this thesis share three common themes that have characteristics that set them apart from the face-to-face meeting. The first theme is that the communication is a secondary task that is used to support a primary task. The second theme is that the cases involve domain experts active in the primary task. The use of experts implies that communication will be task- centered and also that the need for information to sustain a valuable situation awareness may be different from a person with less experience in the domain. The third theme is that all cases and the corresponding tasks benefit from some kind of situation awareness among the participants for optimal execution of the task. The three cases are based on: Wearable computers using mediated communication with wearable computers and how to handle interruptions for users of such computers Multidisciplinary team meetings improving access to patient information and enabling individual and group interaction with this information Trauma resuscitation giving a remote trauma expert’s correct and valuable in- formation while minimizing disturbance when supporting a local trauma re- suscitation team Prototypes are central in all three cases, and different prototypes have been designed and evaluated to validate the benefit of designing tools for communication that do not try to replicate the face-to-face meeting. The main findings in this thesis show that the shift of focus to the primary task when designing mediated communication systems has been beneficial in all three cases. A conflict between the secondary communication that is used to support sit- uation awareness and the primary task has been identified. Full situation awareness should therefore not be a goal in these designs but communication should support enough situation awareness to benefit the primary task with minimal disturbance to it. / <p>QC 20140221</p>

Thesis(M.S.)--Auburn University, 2005. / Abstract. Includes bibliographic references (p.73-80).

This paper evaluates the effectiveness of a wearable device, developed by the author, to detect different types of epileptic seizures and monitor epileptic patients. The device uses GSR, Pulse, EMG, body temperature and 3-axis accelerometer sensors to detect epilepsy. The device first learns the signal patterns of the epileptic patient in ideal condition. The signal pattern generated during the epileptic seizure, which are distinct from other signal patterns, are detected and analyzed by the algorithms developed by the author. Based on an analysis, the device successfully detected different types of epileptic seizures. The author conducted an experiment on himself to determine the effectiveness of the device and the algorithms. Based on the simulation results, the algorithms are 100 percent accurate in detecting different types of epileptic seizures. / Includes bibliography. / Thesis (M.S.)--Florida Atlantic University, 2017. / FAU Electronic Theses and Dissertations Collection