Titlebook: Neuro-Robotics; From Brain Machine I Panagiotis Artemiadis Book 2014 Springer Science+Business Media Dordrecht 2014 Brain-Machine Intefaces

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A Learning Scheme for EMG Based Interfaces: On Task Specificity in Motion Decoding Domaine is able to decode human kinematics, using the myoelectric activity captured from human upper arm and forearm muscles. Three different task features can be distinguished: subspace to move towards, object to be grasped and task to be executed (with the grasped object). The discrimination between the

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Considering Limb Impedance in the Design and Control of Prosthetic Devicesironment in numerous predictable and effective ways. While there have been many recent advances in the design and control of prosthetic limbs, none yet have the capacity to regulate their mechanical impedance over the rangeachievable by human limbs, or to replicate the functions that neuromuscular i

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Mimicking Human-Like Leg Function in Prosthetic Limbsture. Central nervous commands, reflex mechanisms from the spinal cord level or also preflexes defined by actuator properties provide input to create motion patterns like walking or running. Due to dysvascularity, infections or traumatic events parts of the biological framework can get lost. Until t

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Multi-directional Dynamic Mechanical Impedance of the Human Ankle; A Key to Anthropomorphism in Loweent efforts in the design of lower-extremity assistive robots have focused on the sagittal plane; however, the human ankle functions in both sagittal and frontal planes. While prior work has addressed ankle mechanical impedance in single degrees of freedom, here we report on a method to estimate mul

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Development of the Quantified HumanAir Force Research Laboratory, Wright-Patterson Air Force Base, 2013) and based loosely on the adaptive system framework of Feigh et al. (Hum Fact 54(6):1008–1024, 2012) – is presented for approaching augmentation of human performance. While the SAA framework has broad application across all three e

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Effective Neural Representations for Brain-Mediated Human-Robot Interactions It is generally acknowledged that such interactions can be enhanced by providing robots with advance knowledge of the . of human agents, e.g. their desired motor plans and goals in a given context. One potential source of these intentions are decoded neural signals obtained from the cerebral cortex

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Assisted Computer Interaction for Users with Weak Upper Limb Motionntly there has been a considerable body of work directed towards the development of rehabilitation and power/motion coordination systems based on assistive robotic devices [1, 2]. These devices range from manipulandums and simple power orthoses to exoskeletal systems [3–13] and aim to assist in all

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Robotic Systems for Gait Rehabilitationtroke. Robotic devices have been developed to assist locomotor training improving gait function and thus a stroke survivor’s independence. This chapter presents robotic systems that have been developed specifically for gait rehabilitation providing pelvic, hip and/or knee motion assistance. Robotic