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Towards cognitive fatigue detection from functional magnetic resonance imaging data., , , , , and . PETRA, page 82:1-82:2. ACM, (2020)Understanding Cognitive Fatigue from fMRI Scans with Self-supervised Learning., , , , and . CoRR, (2021)An EEG-based Cognitive Fatigue Detection System., , , , , , and . PETRA, page 131-136. ACM, (2023)Towards a serious game based human-robot framework for fatigue assessment., , , , , and . PETRA, page 74:1-74:6. ACM, (2020)PNEUMON: A DDDAS Framework to Detect Fatigue and Dyspnea in COPD., , , , , , , and . DDDAS, volume 12312 of Lecture Notes in Computer Science, page 345-352. Springer, (2020)Detecting Cognitive Fatigue in Subjects with Traumatic Brain Injury from FMRI Scans Using Self-Supervised Learning., , , , and . PETRA, page 83-90. ACM, (2023)A Survey of Assistive Technologies for Assessment and Rehabilitation of Motor Impairments in Multiple Sclerosis., , , , , , , , , and . Multimodal Technol. Interact., 3 (1): 6 (2019)Adaptive robotic rehabilitation using muscle fatigue as a trigger., , , , and . MobiQuitous, page 135-142. ACM, (2019)Towards a robot-based multimodal framework to assess the impact of fatigue on user behavior and performance: a pilot study., , , , , , and . PETRA, page 493-498. ACM, (2019)The brain uses single-trial multisensory memories to discriminate without awareness., , and . NeuroImage, 27 (2): 473-478 (2005)