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Exploring the relationship between EMG feature space characteristics and control performance in machine learning myoelectric control

Serious Gaming For Learning The Intuitive, Non-Natural Control Of Prosthetic Hands

User training for machine learning controlled upper limb prostheses: a serious game approach

Serious gaming to generate separated and consistent EMG patterns in pattern-recognition prosthesis control

Should Hands Be Restricted When Measuring Able-Bodied Participants To Evaluate Machine Learning Controlled Prosthetic Hands?

Comparison of EMG pattern separability in the affected and non-affected arm in individuals with amputation

Mimicking EMG features of amputated limbs by restricting unaffected limbs

The effect of feedback during training sessions on learning pattern-recognition based prosthesis control

Users' and therapists' perceptions of myoelectric multi-function upper limb prostheses with conventional and pattern recognition control

Myoelectric assistive devices: does emg pattern distinctness reflect control ability

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Geavanceerde handprothese trainen met serious gaming

Patiënten met handprotheses trainen met serious games