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Distinguishing levels of challenge from physiological signals for the robot-assisted rehabilitation system, RehabRoby.

, , , , and . CCECE, page 1-4. IEEE, (2017)

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Implementation and Development of an Adaptive Steering-Control System., , , and . IEEE Trans. Vehicular Technology, 59 (1): 75-83 (2010)Stress Detection of Children With ASD Using Physiological Signals., , , , , , , , and . SIU, page 1-4. IEEE, (2022)Clustering of Emotional States under Different Task Difficulty Levels for the Robot-assisted Rehabilitation system-RehabRoby., , , , , and . ICINCO (1), page 34-41. SciTePress, (2014)Automatic Emotion Recognition in Children with Autism: A Systematic Literature Review., , , , , , , and . Sensors, 22 (4): 1649 (2022)Towards a New Computational Affective System for Personal Assistive Robots., , and . SIU, page 1-4. IEEE, (2020)Towards An Affective Robot Companion for Audiology Rehabilitation: How Does Pepper Feel Today?, , , , and . RO-MAN, page 567-572. IEEE, (2020)Child-Robot Interaction Studies During COVID-19 Pandemic., , , , , and . CoRR, (2021)Emotion Recognition using EEG and Physiological Data for Robot-Assisted Rehabilitation Systems., , and . ICMI Companion, page 379-387. ACM, (2020)Centroidal Momentum Observer: Towards Whole-Body Robust Control of Legged Robots Subject to Uncertainties., , and . AMC, page 432-437. IEEE, (2021)A Soft+Rigid Hybrid Exoskeleton Concept in Scissors-Pendulum Mode: A Suit for Human State Sensing and an Exoskeleton for Assistance., , , , , , , , , and 1 other author(s). ICORR, page 518-523. IEEE, (2019)