IREye4Task


Mental states, such as cognition, emotion and action (contexts) can be analyzed and predicted from the eye acquired by a close-up infrared sensitive camera
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Real-time task load detection system

Task load detection during a conversation

Task load detection during a low to high cognitive load task - adding 1, 2 up to 100

Task load detection when searching on a mobile phone

Task load detection during walking


Acknowledgements:
This work was supported in part by US Army Cooperative Agreement W911NF1920330. Opinions expressed are the authors’, and may not reflect those of the US Army.

References
[1] S. Chen, J. Epps, F. Paas, “Pupillometric and blink measures of diverse task loads: Implications for working memory models”, British Journal of Educational Psychology, 2022.
[2] https://pupil-labs.com/
[3] S. Chen, J. Epps. " A High-Quality Landmarked Infrared Eye Video Dataset (IREye4Task): Eye Behaviors, Insights and Benchmarks for Wearable Mental State Analysis ", IEEE Transactions on Affective Computing, 2023.
[4] S. Chen and J. Epps, "Task Load Estimation from Multimodal Head-Worn Sensors Using Event Sequence Features," in IEEE Transactions on Affective Computing, vol. 12, no. 3, pp. 622-635, 1 July-Sept. 2021.