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Computational Analysis of Breathing Rates for Distracted Drivers
No full textDistracted driving is a major cause of accidents. Adding different stress factors to driving can not only distract from the road but can also affect the body’s response to stress. To see how distracted driving affects the body, an experiment was conducted where subjects were asked to drive in a simulator while also being asked to perform various tasks. We want to see how breathing rate changes during different stages of the acquisition and how this change in breathing rate may differ between participants. Some of the tasks included in the data acquisition were playing white noise, playing a BBC clip, asking questions, asking subjects to look at their phone, and to drive with no distractions. All subjects had sensors on them which allowed for the gathering of data. The data from acquisitions was then processed and an algorithm was created that can determine breathing rate. Graphs of the breathing rates were plotted for the subjects to see the change of breathing rate throughout all acquisitions. Comparing the data from the graphs of all subjects against each other, we are starting to see some patterns in the breathing rates of phases across all the subjects. By analyzing and observing patterns in the breathing rates, we can see how the breathing changes when subjects are under various stress. The project will continue to further develop the approach and incorporate other modalities and life metrics such as heart rate
Analyzing Consumer Price Index Over Time in the Seattle-Tacoma-Bellevue Area
No full textThe Consumer Price Index (CPI) has been a measure of inflation dating back to the early 20th century; consisting of a variety of goods that the typical house in the United States would purchase, it has been steadily increasing up until present day. For this, the data, sourced from the U.S. Bureau of Labor Statistics, covers the value of the Consumer Price Index over time in the Seattle area, specifically Seattle-Tacoma-Bellevue area. Various forms of numerical analysis were applied to this data, including the use of Taylor polynomials, numerical differentiation, and Lagrange interpolation. Using numerical differentiation, the rate of change of the tabular data was estimated over time. With this, the two forms of interpolation, Taylor polynomials and Lagrange polynomials, were applied to the data in order to evaluate important points in the set as well as project future values of the CPI. In order to get an understanding of the accuracy of these models, evaluations of the absolute error and the error bound were done for both forms of interpolation in regards to the data set. In addition, error between the numerical differentiation of the data set and the numerical differentiation of the Lagrange polynomial was done, in order to gain further insight into the accuracy of the models
Electron Scattering Measurements of La1-xSrxMnO3
No full textMaterials are complex systems, built from a lattice of ions and containing electrons. There are many different types of interactions between electrons or between electrons and the lattice that stem from their electrical charges, spins, and orbital angular momenta. For specific experimental conditions (temperatures, pressures, etc.), one particular interaction can dominate, causing the material to undergo a phase transition into an ordered state promoted by that interaction. Measurements of electrical resistance as a function of temperature (ERFT) on materials can detect phase transitions and offer insight into the underlying interaction(s) responsible for producing the ordered state. When a phase transition occurs, a rapid change in resistance results since there is more scattering in disordered states and less scattering in ordered states. To measure ERFT, a current of electrons is directed through a sample; measured electrical resistance values depend on electron scattering in the material. Electrons can scatter from: (1) impurities and defects, (2) other conduction electrons, (3) the lattice, and (4) magnetic moments. The system La1-xSrxMnO3 is interesting because the phase transition temperatures associated with the ordered ferromagnetic state depend sensitively on the lanthanum to strontium ratio. To investigate these phase transitions, ERFT measurements were made between 4.2 - 300 kelvin on polycrystalline samples of La1-xSrxMnO3 from 0.1 ≤ x ≤ 0.3. Measurements were performed using a standard four-wire technique and a closed-cycle refrigerator to cool the samples. The results of these experiments demonstrate how sensitively ERFT measurements probe changes in electron scattering during a ferromagnetic phase transition
Neutral Face Expression Recognition and Big-5 Personality Trait Attributes
Get PDFPrior research on facial expression recognition reveals that when individuals are exposed to neutral facial expressions, they label the perceived emotional state of the model’s face then create overgeneralized inferences of the model’s character that matches their emotional perception (Hester, 2019; Todorov et al., 2014; Todorov et al., 2013). Hester (2019) reported that female models who exhibited neutral facial expressions were misidentified as more angry, more threatening, and less attractive than male models exhibiting the same neutral facial expressions. Hester referred to this as the Perceived Resting Negative Emotion Phenomenon (Hester, 2019). Our study compared personality perceptions made by participants when they correctly versus incorrectly identified the emotion of a neutral facial expression. Three-hundred seventy-one participants (37.7% male; 62% female) completed the study survey via MTurk. Participants labeled each neutral face model with one emotion: either anger, disgust, fear, happy, sad, surprised (incorrect emotion labels), or neutral (correct emotion label). Using the Big Five Personality measure, participants then evaluated the model on the traits of extraversion, conscientiousness, agreeableness, neuroticism, and openness. Similar to Hester’s (2019) findings, participants in this study demonstrated significant differences in perceptions made about the agreeable and emotionally stable nature of a female model when emotion was incorrectly identified as anger or disgust. In contrast, male models were incorrectly identified as sad more than any other incorrect label, and perceptions of conscientiousness and emotional stability (neuroticism) were significantly different in comparison to correctly identified neutral expressions. Implications of this study and future directions are discussed
Cli-Fi Films: The Day After Tomorrow (2004) and Wall-E (2008)
No full textThis research project aims to identify how effective Climate fiction (Cli-fi) films are for influencing public perception of climate change issues. Cli-fi films first emerged in the 1990s and quickly grew in popularity as they were well received by diverse audiences. These films typically are used to inform people about the possible consequences of climate change in order to invoke a call to action. The Day After Tomorrow (2004) and WALL-E (2008) are used as examples of Cli-fi films that target different audiences and they will be analyzed in the context of public perception for the climate issues portrayed. Data from surveys will be collected and analyzed to compare how Cli-fi films affect public perception. Surveys will be distributed to CWU students and students will be asked about their experiences with Cli-fi films as well as whether their perception of climate change issues have been impacted by watching Cli-fi films, such as The Day After Tomorrow (2004) and WALL-E (2008). The results of this study will be used to identify the effectiveness of Cli-fi films on shifting public perception on climate change issues as well as the influence on audiences towards behavioral change and social action
Spatial Trends of Multi-Home Ownership in College-Towns versus Non-College Towns
No full textCollege towns are often defined by their unique reliance economically on the presence of a college or university, with higher education providing much of the employment and fostering a large renter market. And, in recent years, housing costs have risen rapidly, including in college towns. One thought on this phenomena is the consolidation of houses into the control of fewer and fewer hands. Thus, this project concerned itself with the spatial patterns of multiple home ownership (MHO) in college towns and non-college towns. Data was collected for Ellensburg and Cheney in the former category, and Everett, Sunnyside, and Wenatchee in the latter. County parcel data was acquired and processed through ArcGIS Pro and Excel to identify parcels owned by individuals or entities that own multiple parcels in the same community. These patterns were then used to calculate MHO percentages for number of parcels, acreage, and value of parcels. Wenatchee proved to be an outlier with a high level of MHO in neighborhoods outside the urban core. However, the two college towns had a greater concentration of MHO in their core than the other towns, and had high concentrations even in outer areas. This could be one of the reasons why the housing market is rising at a rapid rate
Homecoming Stunt Night
No full textA group of people acting on stage at the Homecoming Stunt Night.https://digitalcommons.cwu.edu/john_foster_photos/2400/thumbnail.jp
Homecoming
No full textA large group of people at the homecoming bonfire.https://digitalcommons.cwu.edu/john_foster_photos/2407/thumbnail.jp
Football 1959
No full textA CWSC football player, number 48, posing for a photo in 1959.https://digitalcommons.cwu.edu/john_foster_photos/2464/thumbnail.jp
Football 1959
No full textA CWSC football player, number 32, posing for a photo in 1959.https://digitalcommons.cwu.edu/john_foster_photos/2467/thumbnail.jp