Ubiquitous Monitoring of Boredom. H. Estépar 2 , D. Shastri 1 , A. Mandapati 1 , I. Pavlidis 1. (1) Department of Computer Science, University of Houston, Houston, TX 77204. dshastri , amandapa , firstname.lastname@example.org,.
Ubiquitous Monitoring of Boredom
H. Estépar2, D. Shastri1, A. Mandapati1, I. Pavlidis1
(1) Department of Computer Science, University of Houston,
Houston, TX 77204. dshastri, amandapa, email@example.com,
(2) Department of Electrical and Computer Engineering, University of Puerto Rico, Mayagüez Campus
Mayagüez, Puerto Rico. firstname.lastname@example.org
Boredom in Context
Subjects under boredom tend to be more susceptive to distractions .
Classical example of boredom:
The work of security guards
This highly accurate technology for measuring, temperature, EDA, and motion intensity (X,Y and Z co-ordinates) has never been used with such an objective.
The experimental results show that monitoring of the Q-sensor channels yields similar detecting power to GSR’s. and thermal imaging.
Track boredom through physiological variables
Quantify physiological responses
Combine symbiotic activities with passive monitoring
- ECG, EEG, GSR
Example of security monitoring
1. Experimental Design
1. Experiment Design
2. Data Analysis
Includes 2 wand games, 2 puzzle games, and 1 web browser.
Step1: Extract thermalsignal from maxillaryregion, GSRand Q-sensorsignal
Step2: Down sample the collected data from signals
Step3:Normalize the signals
Step4: Reduce Q-sensor noise
Step5: Perform data analysis [signal correlation, Even Peak Time (ETP) and Even Peak Intensity (EPI)]
Thermal GSR Q-sensor
Even Peak Time (EPT)
Even Peak Intensity (EPI)
This research was sponsored by NSF grant number SCI-0453498. Additional thanks to the UH Department of Computer Science, College of Natural Sciences and Mathematics, Dean of Graduate and Professional Studies, VP for Research, and the Provost’s Office.
Summary: Mean EDA with activityis greater than without activity
(exception - D006)