A Brief Overview on Machine Learning in Rehabilitation of the Human Arm via an Exoskeleton Robot

2021 ◽  
Author(s):  
Sami Briouza ◽  
Hassene Gritli ◽  
Nahla Khraief ◽  
Safya Belghith ◽  
Dilbag Singh
Keyword(s):  
Machine Learning ◽  
Exoskeleton Robot ◽  
Human Arm

Research on motion pattern recognition of exoskeleton robot based on multimodal machine learning model

2019 ◽  
Vol 32 (7) ◽  
pp. 1869-1877 ◽  
Author(s):  
Yi Zheng ◽  
Qingjun Song ◽  
Jixin Liu ◽  
Qinghui Song ◽  
Qingchao Yue
Keyword(s):  
Machine Learning ◽  
Pattern Recognition ◽  
Learning Model ◽  
Motion Pattern ◽  
Exoskeleton Robot ◽  
Machine Learning Model

Postural synergy based design of exoskeleton robot replicating human arm reaching movements

2018 ◽  
Vol 99 ◽  
pp. 84-96 ◽  
Author(s):  
Kai Liu ◽  
Cai-Hua Xiong ◽  
Lei He ◽  
Wen-Bin Chen ◽  
Xiao-Lin Huang
Keyword(s):  
Reaching Movements ◽  
Exoskeleton Robot ◽  
Arm Reaching ◽  
Human Arm

Mind wandering as data augmentation: How mental travel supports abstraction

2020 ◽  
Vol 43 ◽  
Author(s):  
Myrthe Faber
Keyword(s):  
Machine Learning ◽  
Data Augmentation ◽  
Mental Content ◽  
Mind Wandering ◽  
Theoretical Framework ◽  
Important Addition

Abstract Gilead et al. state that abstraction supports mental travel, and that mental travel critically relies on abstraction. I propose an important addition to this theoretical framework, namely that mental travel might also support abstraction. Specifically, I argue that spontaneous mental travel (mind wandering), much like data augmentation in machine learning, provides variability in mental content and context necessary for abstraction.

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