Journal ArticleDOI
Probability analysis for grasp planning facing the field of medical robotics
TLDR
A crawling planning method based on big data Gaussian process classification that can give classification results and corresponding probabilities, which represents the feasibility of grasping points in the problem of grab point planning is proposed.About:
This article is published in Measurement.The article was published on 2019-07-01. It has received 79 citations till now. The article focuses on the topics: Robot & Robotics.read more
Citations
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Journal ArticleDOI
Intelligent human computer interaction based on non redundant EMG signal
TL;DR: In the process of gesture recognition using sEMG signals generated by thumb, a method of redundant electrode determination based on variance theory is proposed and the best method of thumb motion pattern recognition is obtained.
Journal ArticleDOI
Intelligent Human-Computer Interaction Based on Surface EMG Gesture Recognition
TL;DR: The recognition framework proposed in this paper can enhance the generalization ability of HCI in the long term use and it also simplifies the data collection stage before training the device ready for daily use, which is of great significance to improve the time generalization performance of an HCI system.
Journal ArticleDOI
Grasping force prediction based on sEMG signals
TL;DR: Results show that the RMS eigenvalue extracted from the sEMG signal can better characterize the grasping force, and the prediction model with GEP algorithm has smaller relative error and higher prediction effect.
Journal ArticleDOI
Grip strength forecast and rehabilitative guidance based on adaptive neural fuzzy inference system using sEMG
TL;DR: The adaptive neural fuzzy inference system is designed, which is trained by extracted feature vectors and can effectively predict the grip force, which can be used to guide rehabilitation therapy in virtual space, combined with an electrical stimulator.
Journal ArticleDOI
Gesture recognition based on multi-modal feature weight
TL;DR: This paper optimizes the effect of RGB‐D information processing by considering the independent features and related features of multi‐modal data to construct a weight adaptive algorithm to fuse different features.
References
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Journal ArticleDOI
Mechanical design and performance specifications of anthropomorphic prosthetic hands: a review.
TL;DR: A detailed analysis of the mechanical characteristics of anthropomorphic prosthetic hands is set forth, including number of actuators and hand complexity, hand weight, and grasp force, and a set of rules of thumb regarding the mechanical design.
Journal Article
Approximations for Binary Gaussian Process Classification
TL;DR: A comprehensive overview of many recent algorithms for approximate inference in Gaussian process models for probabilistic binary classification and the relationships between several approaches are elucidated theoretically, and the properties of the different algorithms are corroborated by experimental results.
Journal ArticleDOI
Assessing Approximate Inference for Binary Gaussian Process Classification
Malte Kuss,Carl Edward Rasmussen +1 more
TL;DR: This work reviews and compares Laplace's method and Expectation Propagation for approximate Bayesian inference in the binary Gaussian process classification model, and presents a comprehensive comparison of the approximations, their predictive performance and marginal likelihood estimates to results obtained by MCMC sampling.
Journal ArticleDOI
Passive Particle Jamming and Its Stiffening of Soft Robotic Grippers
TL;DR: This paper proposes a novel passive particle jamming principle that does not need any vacuum power or other control means and may enhance the capabilities of soft robotic grippers so that more robotic picking operations could be performed by soft grippers.
Journal ArticleDOI
Force Sensor Integrated Surgical Forceps for Minimally Invasive Robotic Surgery
TL;DR: A novel surgical instrument integrated with a four-degree-of-freedom (DOF) force sensor that enables the direct sensing of normal and shear forces at surgical instrument tips by adopting the capacitive transduction principle.