Control of upper limb prostheses: Terminology and proportional myoelectric control—A review
The recent introduction of novel multifunction hands as well as new control paradigms
increase the demand for advanced prosthetic control systems. In this context, an …
increase the demand for advanced prosthetic control systems. In this context, an …
Body schema in robotics: a review
How is our body imprinted in our brain? This seemingly simple question is a subject of
investigations of diverse disciplines, psychology, and philosophy originally complemented …
investigations of diverse disciplines, psychology, and philosophy originally complemented …
Surface EMG based continuous estimation of human lower limb joint angles by using deep belief networks
Surface electromyography (EMG) signals have been widely used in locomotion studies and
human-machine interface applications. In this paper, a regression model which relates the …
human-machine interface applications. In this paper, a regression model which relates the …
The SmartHand transradial prosthesis
Background Prosthetic components and control interfaces for upper limb amputees have
barely changed in the past 40 years. Many transradial prostheses have been developed in …
barely changed in the past 40 years. Many transradial prostheses have been developed in …
Surface EMG pattern recognition for real-time control of a wrist exoskeleton
Background Surface electromyography (sEMG) signals have been used in numerous
studies for the classification of hand gestures and movements and successfully implemented …
studies for the classification of hand gestures and movements and successfully implemented …
Online myoelectric control of a dexterous hand prosthesis by transradial amputees
A real-time pattern recognition algorithm based on k-nearest neighbors and lazy learning
was used to classify, voluntary electromyography (EMG) signals and to simultaneously …
was used to classify, voluntary electromyography (EMG) signals and to simultaneously …
A novel feature extraction method for machine learning based on surface electromyography from healthy brain
G Li, J Li, Z Ju, Y Sun, J Kong - Neural Computing and Applications, 2019 - Springer
Feature extraction is one of most important steps in the control of multifunctional prosthesis
based on surface electromyography (sEMG) pattern recognition. In this paper, a new sEMG …
based on surface electromyography (sEMG) pattern recognition. In this paper, a new sEMG …
A miniature vibrotactile sensory substitution device for multifingered hand prosthetics
A multisite, vibrotactile sensory substitution system, that could be used in conjunction with
artificial touch sensors in multifingered prostheses, to deliver sensory feedback to upper limb …
artificial touch sensors in multifingered prostheses, to deliver sensory feedback to upper limb …
The role of feed-forward and feedback processes for closed-loop prosthesis control
I Saunders, S Vijayakumar - Journal of neuroengineering and …, 2011 - Springer
Background It is widely believed that both feed-forward and feed-back mechanisms are
required for successful object manipulation. Open-loop upper-limb prosthesis wearers …
required for successful object manipulation. Open-loop upper-limb prosthesis wearers …
Cognitive vision system for control of dexterous prosthetic hands: experimental evaluation
Background Dexterous prosthetic hands that were developed recently, such as SmartHand
and i-LIMB, are highly sophisticated; they have individually controllable fingers and the …
and i-LIMB, are highly sophisticated; they have individually controllable fingers and the …