CPS@ASU Screening Survey
Data Collection using Wearable Sensors and Mobile Devices for Machine Learning Algorithm Design
Researchers in the College of Health Solutions are conducting a research study to collect sensor, image, and contextual data to design and develop machine learning algorithms for human behavior, activity recognition, and emotion status analysis. Participants will be asked to keep their personal smartphones with them at all times during the study (approximately 10 hours/day for 7 days), wear a study-provided wristband on their dominant wrist, and wear a small camera clipped to their clothing. Participants will also be asked to respond to questions asking what they are doing and how they are feeling on their smartphones throughout the study. Participants will also be asked to visit the test site located in ASU Health Futures Center (HFC) Room 218 every other day during the study to exchange the wearable wristbands. We are recruiting healthy individuals aged 18 years or older to participate in the study.
In order to see if you are a good fit for the study, please complete the following screening survey. Your participation in this screening process is voluntary. You can choose not to participate or withdraw from the survey at any time. If you meet the eligibility criteria for this study, we will contact you using the email address provided in this survey to discuss the study in more detail and see if you would like to participate. If you have any questions concerning the research study, please contact the following doctoral student: Abdullah Mamun at firstname.lastname@example.org. You may also contact Dr. Hassan Ghasemzadeh, ASU faculty lead for this study at Hassan.Ghasemzadeh@asu.edu. If you have any questions about your rights as a subject/participant in this research, or if you feel you have been placed at risk, you can contact the ASU Institutional Review Board at email@example.com or by phone at 480-965-6788.
Completion of this survey will indicate your consent to participate in this screening questionnaire.