Measuring Cognitive Workload Using Multimodal Sensors

@article{Hirachan2022MeasuringCW,
  title={Measuring Cognitive Workload Using Multimodal Sensors},
  author={Niraj Hirachan and Anit Mathews and Julio Romero and Raul Fernandez Rojas},
  journal={2022 44th Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC)},
  year={2022},
  pages={4921-4924}
}
  • Niraj HirachanAnit Mathews R. Rojas
  • Published 5 May 2022
  • Psychology
  • 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
This study aims to identify a set of indicators to estimate cognitive workload using a multimodal sensing approach and machine learning. A set of three cognitive tests were conducted to induce cognitive workload in twelve participants at two levels of task difficulty (Easy and Hard). Four sensors were used to measure the participants' physiological change, including, Electrocardiogram (ECG), electrodermal activity (EDA), respiration (RESP), and blood oxygen saturation (SpO2). To understand the… 

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