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Hierarchical Graphical Models for Context-Aware Hybrid Brain-Machine Interfaces

, , , and . (2018)cite arxiv:1809.05635Comment: 40th International Engineering in Medicine and Biology Conference (EMBC 2018).

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From Hand-Perspective Visual Information to Grasp Type Probabilities: Deep Learning via Ranking Labels., , , , , , , and . CoRR, (2021)HANDS: a multimodal dataset for modeling toward human grasp intent inference in prosthetic hands., , , , and . Intell. Serv. Robotics, 13 (1): 179-185 (2020)From hand-perspective visual information to grasp type probabilities: deep learning via ranking labels., , , , , , , and . PETRA, page 256-263. ACM, (2019)Hierarchical Graphical Models for Context-Aware Hybrid Brain-Machine Interfaces., , , and . EMBC, page 1964-1967. IEEE, (2018)Multimodal Fusion of EMG and Vision for Human Grasp Intent Inference in Prosthetic Hand Control., , , , , , , , , and 1 other author(s). CoRR, (2021)HANDS: A Multimodal Dataset for Modeling Towards Human Grasp Intent Inference in Prosthetic Hands., , , , and . CoRR, (2021)Detection of motor task difficulty level from EEG data., , , and . SIU, page 969-972. IEEE, (2016)Hierarchical Graphical Models for Context-Aware Hybrid Brain-Machine Interfaces, , , and . (2018)cite arxiv:1809.05635Comment: 40th International Engineering in Medicine and Biology Conference (EMBC 2018).Classification of motor task execution speed from EEG data., , , and . SIU, page 2257-2260. IEEE, (2016)Transfer learning using low-dimensional subspaces for EMG-based classification of hand posture., , , , and . NER, page 1097-1100. IEEE, (2019)