A Federated Unsupervised Personalisation for Cognitive Workload Estimation
Author:
Affiliation:
1. Università della Svizzera Italiana, Switzerland
Funder
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3626705.3631796
Reference12 articles.
1. Out-of-Distribution Detection of Human Activity Recognition with Smartwatch Inertial Sensors
2. Can We Ditch Feature Engineering? End-to-End Deep Learning for Affect Recognition from Physiological Sensor Data
3. Evaluating and reducing cognitive load should be a priority for machine learning in healthcare
4. Classical and deep learning methods for recognizing human activities and modes of transportation with smartphone sensors
5. Datasets for Cognitive Load Inference Using Wearable Sensors and Psychological Traits
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