Multi-class Task Classification Using Functional Near-Infrared Spectroscopy
Danushka Bandara
International Conference on Human-Computer Interaction, Springer, Cham, 2022, pp. 133--141
User State Detection Using Facial Images with Mask Cover
Danushka Bandara
International Conference on Human-Computer Interaction, Springer, Cham, 2021, pp. 67--74
Identification of Potential Task Shedding Events Using Brain Activity Data
Danushka Bandara, Trevor Grant, Leanne Hirshfield, Senem Velipasalar
Augmented Human Research, vol. 5, 2020, pp. 1-15
Classification of affect using deep learning on brain blood flow data
Danushka Bandara, Leanne Hirshfield, Senem Velipasalar
Journal of Near Infrared Spectroscopy, 2019
Building predictive models of emotion with functional near-infrared spectroscopy
Danushka Bandara, Senem Velipasalar, Sarah Bratt, Leanne Hirshfield
International Journal of Human-Computer Studies, vol. 110, 2018, pp. 75-85
Danushka Bandara, Stephen Song, Leanne Hirshfield, Senem Velipasalar
International Conference on Augmented Cognition, 2016, pp. 287-298
fNIRS: A new modality for brain activity-based biometric authentication
Abdul Serwadda, Vir Phoha, Sujit Poudel, Leanne M Hirshfield, Danushka Bandara, Sarah E Bratt, Mark R Costa
IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS), 2015, pp. 1-7
Measuring situational awareness aptitude using functional near-infrared spectroscopy
Leanne Hirshfield, Mark Costa, Danushka Bandara, Sarah Bratt
International Conference on Augmented Cognition, 2015, pp. 244-255
Insights into user personality and learning styles through cross subject fNIRS classification
Danushka Bandara, Leanne Hirshfield, Senem Velipasalar
International Conference on Augmented Cognition, 2014, pp. 181-189
