Multimodal human hand motion sensing and analysis—A review
Y Xue, Z Ju, K Xiang, J Chen… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Human hand motion (HHM) analysis is an essential research topic in recent applications,
especially for dexterous robot hand manipulation learning from human hand skills. It …
especially for dexterous robot hand manipulation learning from human hand skills. It …
Survey on fuzzy-logic-based guidance and control of marine surface vehicles and underwater vehicles
Fuzzy logic control, due to its simple control structure, easy and cost-effective design, has
been successfully employed to the application of guidance and control in robotic fields. This …
been successfully employed to the application of guidance and control in robotic fields. This …
Surface EMG signal classification using ternary pattern and discrete wavelet transform based feature extraction for hand movement recognition
Hands are two of the most crucial organs and they play major role for human activities.
Therefore, amputee people experience many difficulties in daily life. To overcome these …
Therefore, amputee people experience many difficulties in daily life. To overcome these …
Recent trends and challenges of surface electromyography in prosthetic applications
Surface electromyography (sEMG) meets extensive applications in the field of prosthesis in
the current period. The effectiveness of sEMG in prosthesis applications has been verified by …
the current period. The effectiveness of sEMG in prosthesis applications has been verified by …
A survey of sensor fusion methods in wearable robotics
Modern wearable robots are not yet intelligent enough to fully satisfy the demands of end-
users, as they lack the sensor fusion algorithms needed to provide optimal assistance and …
users, as they lack the sensor fusion algorithms needed to provide optimal assistance and …
Personalized variable gain control with tremor attenuation for robot teleoperation
Teleoperated robot systems are able to support humans to accomplish their tasks in many
applications. However, the performance of teleoperation largely depends on motor …
applications. However, the performance of teleoperation largely depends on motor …
A learning framework of adaptive manipulative skills from human to robot
Robots are often required to generalize the skills learned from human demonstrations to
fulfil new task requirements. However, skill generalization will be difficult to realize when …
fulfil new task requirements. However, skill generalization will be difficult to realize when …
Event-triggered critic learning impedance control of lower limb exoskeleton robots in interactive environments
In this paper, we present an event-triggered critic learning impedance control algorithm for a
lower limb rehabilitation exoskeleton robot in an interactive environment, where the control …
lower limb rehabilitation exoskeleton robot in an interactive environment, where the control …
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 …
User adaptation in long-term, open-loop myoelectric training: implications for EMG pattern recognition in prosthesis control
Objective. Recent studies have reported that the classification performance of
electromyographic (EMG) signals degrades over time without proper classification …
electromyographic (EMG) signals degrades over time without proper classification …