Chris Parnin
Andrew Begel
ABSTRACT
This will be a one hour long practicum where attendees, guided by experts, will try out biometric sensors and equipment, including eye trackers, electrodermal activity sensors, and heart rate monitors. Attendees will write code to collect data from a sensor and analyze it to compute operationalized metrics like cognitive load. These will be applied to a simple research experiment. Attendees will gain the basic knowledge needed to engage in research with psycho-physiological sensors.
Index Terms
- Hands-on sensors 101: invited session
Recommendations
Using Reflexive Eye Movements for Fast Challenge-Response Authentication
CCS '16: Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications SecurityEye tracking devices have recently become increasingly popular as an interface between people and consumer-grade electronic devices. Due to the fact that human eyes are fast, responsive, and carry information unique to an individual, analyzing person's ...
Rapid alternating saccade training
ETRA '18: Proceedings of the 2018 ACM Symposium on Eye Tracking Research & ApplicationsWhile individual eye movement characteristics are remarkably stable, experiments on saccadic spatial adaptation indicate that oculomotor learning is possible. To further investigate saccadic learning, participants received veridical feedback on saccade ...
Iris Print Attack Detection using Eye Movement Signals
ETRA '22: 2022 Symposium on Eye Tracking Research and ApplicationsIris-based biometric authentication is a wide-spread biometric modality due to its accuracy, among other benefits. Improving the resistance of iris biometrics to spoofing attacks is an important research topic. Eye tracking and iris recognition devices ...
Comments