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- Creators: Computer Science and Engineering Program
- Creators: Harrington Bioengineering Program
This project seeks to motivate runners by creating an application that selectively plays music based on smartwatch metrics. This is done by analyzing metrics collected through a person’s smartwatch such as heart rate or running power and then selecting the music that best fits their workout’s intensity. This way, as the workout becomes harder for the user, increasingly motivating music is played.
In 2020, all states and territories within the United States have at least 20% obesity rates among adults, with the state of Arizona specifically being between 30-35% of adults (CDC, 2021). Being overweight and having obesity are linked to increased risk of heart disease, stroke, type 2 diabetes, high blood pressure, certain cancers, as well as other chronic conditions (NIH, 2018). The high percentage is partly due to the work environment in society, which has become increasingly sedentary with the rise of labor-saving technologies, like computers for example. As a result, sedentary jobs have increased 83% since 1950 (American Heart Association, 2018). Our proposed solution to this problem of people not getting enough exercise is Bet Fitness. Bet Fitness is a mobile app that utilizes social and financial incentives to motivate users to consistently exercise. The quintessence of Bet Fitness is to bet money on your health. You first create a group with your friends or people you want to compete with. You then put in a specified amount of money into the betting pool. Users then have to exercise for a specified amount of days for a certain period of time (let’s say for instance, three times a week for a month). Workouts can be verified only by the other members of the group, where you can either send photos in a group chat, link your fitbit/other health data, or simply have another person vouch that you worked out as proof. Anyone who fails to keep up with the bet, loses their money that they put in and it gets equally distributed to the other members of the party. According to our initial survey, this idea has generated much interest among college students.
This thesis presents a preliminary determination and design of a control algorithm for an assistive ankle device developed by the ASU RISE Laboratory. The assistive ankle device functions by compressing a spring upon heel strike during gait, remaining compressed during mid-stance and then releasing upon initiation of heel-off. The relationship between surface electromyography and ground reactions forces were used for identification of user-initiated heel-off. The muscle activation of the tibialis anterior combined with the ground reaction forces of the heel pressure sensor generated potential features that will be utilized in the revised control algorithm for the assistive ankle device. Work on this project must proceed in order to test and validate the revised control algorithm to determine its accuracy and precision.
This study seeks to answer the research questions: What are the major risk factors associated with the lack of prenatal and neonatal healthcare in developing countries? What are potential routes of intervention (ROI) to help these countries? The goal is to analyze the risk factors and determine if there are any ROIs available to minimize potential incidents or accidents associated with complications of preterm birth.
A few potential risk factors include: poverty, a mother’s lack of education, a lack of professional visitation during pregnancy, having a short cervix, and routine use of Ultrasound. This research paper has identified that keeping ultrasound diagnostics to a minimum, seeking professional help during pregnancy, incorporating corticosteroids for preterm births, implementing Kangaroo Mother Care, and Cervical Cerclage are interventions that can reduce preterm births and the associated complications that come with it. We believe that further research, regarding compliance of each of these interventions, would show reduction of preterm births and low birth weight in developing countries.