AIMC Topic: Hand

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Online Bimanual Manipulation Using Surface Electromyography and Incremental Learning.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 27, 2016
The paradigm of simultaneous and proportional myocontrol of hand prostheses is gaining momentum in the rehabilitation robotics community. As opposed to the traditional surface electromyography classification schema, in simultaneous and proportional c...
Equipment Failure Analysis Male Exoskeleton Device Hand Prosthesis Design Electromyography Psychomotor Performance Humans Artificial Limbs Machine Learning Female Adult
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From binary presumptive assays to probabilistic assessments: Differentiation of shooters from non-shooters using IMS, OGSR, neural networks, and likelihood ratios.

Forensic science international Apr 21, 2016
Screening tests are used in forensic science for field testing and directing laboratory analysis of physical evidence. These tests are often binary in that the data produced is interpreted as yes/no or present/absent. The utility of screening assays ...
Wounds, Gunshot Firearms Likelihood Functions Hand Spectrum Analysis Humans Organic Chemicals Skin Neural Networks, Computer
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Beyond synergies: Comment on "Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands" by Marco Santello et al.

Physics of life reviews Apr 13, 2016
Humans Hand Strength Neurosciences Robotics Hand
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Grasping versus knitting: A geometric perspective: Comment on "Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands" by M. Santello et al.

Physics of life reviews Apr 13, 2016
Hand Strength Robotics Neurosciences Hand Humans
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Learning in robotic manipulation: The role of dimensionality reduction in policy search methods: Comment on "Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands" by Marco Santello et al.

Physics of life reviews Apr 7, 2016
Humans Learning Neurosciences Robotics Hand
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Integration of robotics and neuroscience beyond the hand: What kind of synergies?: Comment on "Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands" by Marco Santello et al.

Physics of life reviews Apr 7, 2016
Hand Neurosciences Hand Strength Robotics Humans
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Neuro-prosthetic interplay: Comment on "Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands" by M. Santello et al.

Physics of life reviews Apr 6, 2016
Hand Neurosciences Humans Hand Strength Robotics
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A physicist's view on biological synergies: Comment on "Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands" by Marco Santello et al.

Physics of life reviews Apr 5, 2016
Humans Hand Strength Robotics Hand Neurosciences
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Are we ready to move beyond the reductionist approach of classical synergy control?: Comment on "Hand synergies: Integration of robotics and neuroscience for understanding the control of biological and artificial hands" by Marco Santello et al.

Physics of life reviews Mar 21, 2016
Robotics Humans Hand Hand Strength Neurosciences
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Blending of brain-machine interface and vision-guided autonomous robotics improves neuroprosthetic arm performance during grasping.

Journal of neuroengineering and rehabilitation Mar 18, 2016
BACKGROUND: Recent studies have shown that brain-machine interfaces (BMIs) offer great potential for restoring upper limb function. However, grasping objects is a complicated task and the signals extracted from the brain may not always be capable of ...
Male Middle Aged Robotics Quadriplegia Hand Upper Extremity Hand Strength Neurological Rehabilitation Female Brain-Computer Interfaces Humans Adult Movement Brain
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