Electrode shifts estimation and adaptive correction for improving robustness of sEMG-based recognition
Z Li, X Zhao, G Liu, B Zhang, D Zhang… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
In sEMG-based recognition systems, accuracy is severely worsened by disturbances, such
as electrode shifts by doffing/donning. Traditional recognition models are fixed or static, with …
as electrode shifts by doffing/donning. Traditional recognition models are fixed or static, with …
Unsupervised domain adaptation for gesture identification against electrode shift
Surface electromyogram (sEMG)-based hand gesture recognition, which interprets
commands given by humans through sEMG signals, performs well in many studies …
commands given by humans through sEMG signals, performs well in many studies …
Dynamic texture decoding using a neuromorphic multilayer tactile sensor
Prosthetic limbs would benefit from tactile feedback to provide sensory information when
interacting with the environment, such as adjusting grasps using force feedback or palpating …
interacting with the environment, such as adjusting grasps using force feedback or palpating …
Monitoring at-home prosthesis control improvements through real-time data logging
Objective. Validating the ability for advanced prostheses to improve function beyond the
laboratory remains a critical step in enabling long-term benefits for prosthetic limb users …
laboratory remains a critical step in enabling long-term benefits for prosthetic limb users …
Enhancing Upper Limb Prostheses Through Neuromorphic Sensory Feedback
LE Osborn - 2018 - jscholarship.library.jhu.edu
Upper limb prostheses are rapidly improving in terms of both control and sensory feedback,
giving rise to lifelike robotic devices that aim to restore function to amputees. Recent …
giving rise to lifelike robotic devices that aim to restore function to amputees. Recent …