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Detection of compensatory balance responses using wearable electromyography sensors for fall-risk assessment., , and . EMBC, page 1680-1683. IEEE, (2016)IMU, sEMG, or their cross-correlation and temporal similarities: Which signal features detect lateral compensatory balance reactions more accurately?, and . Comput. Methods Programs Biomed., (2019)Unsupervised fault detection and recovery for intelligent robotic rollators., , , , and . Robotics Auton. Syst., (2021)Combined Action Observation, Motor Imagery and SSMVEP BCI Enhances Movement Related Cortical Potential., , and . NER, page 1-4. IEEE, (2023)Effect of Visual Information on Dominant and Non-dominant Hands During Bimanual Drawing with a Robotic Platform., , , , and . ICORR, page 1221-1226. IEEE, (2019)Wearable Vision Detection of Environmental Fall Risks using Convolutional Neural Networks., , , and . CoRR, (2016)Chasing Feet in the Wild: A Proposed Egocentric Motion-Aware Gait Assessment Tool., , , , and . ECCV Workshops (6), volume 11134 of Lecture Notes in Computer Science, page 176-192. Springer, (2018)Kinematics-Based Lower Limb Rehabilitation Monitoring Following Partial Knee Meniscectomy: Case Study., , , and . EMBC, page 2531-2534. IEEE, (2022)Wearable vision detection of environmental fall risk using Gabor Barcodes., , , and . BioRob, page 956. IEEE, (2016)Machine learning based detection of compensatory balance responses to lateral perturbation using wearable sensors., and . BioCAS, page 1-4. IEEE, (2015)