scholarly journals Bayesian Estimation of Potential Performance Improvement Elicited by Robot-Guided Training

2021 ◽  
Vol 15 ◽  
Author(s):  
Asuka Takai ◽  
Giuseppe Lisi ◽  
Tomoyuki Noda ◽  
Tatsuya Teramae ◽  
Hiroshi Imamizu ◽  
...  
Keyword(s):  
Bayesian Estimation ◽  
Motor Performance ◽  
Hand Movement ◽  
Tracking Error ◽  
Estimation Method ◽  
Training Procedure ◽  
Movement Training ◽  
Movement Performance ◽  
Human Motor ◽  
Initial Movement

Improving human motor performance via physical guidance by an assist robot device is a major field of interest of the society in many different contexts, such as rehabilitation and sports training. In this study, we propose a Bayesian estimation method to predict whether motor performance of a user can be improved or not by the robot guidance from the user’s initial skill level. We designed a robot-guided motor training procedure in which subjects were asked to generate a desired circular hand movement. We then evaluated the tracking error between the desired and actual subject’s hand movement. Results showed that we were able to predict whether a novel user can reduce the tracking error after the robot-guided training from the user’s initial movement performance by checking whether the initial error was larger than a certain threshold, where the threshold was derived by using the proposed Bayesian estimation method. Our proposed approach can potentially help users to decide if they should try a robot-guided training or not without conducting the time-consuming robot-guided movement training.

Anticipation and timing in human motor performance.

1968 ◽  
Vol 70 (6, Pt.1) ◽  
pp. 631-646 ◽  
Author(s):  
Richard A. Schmidt
Keyword(s):  
Motor Performance ◽  
Human Motor

scholarly journals Data-Driven Object Vehicle Estimation by Radar Accuracy Modeling with Weighted Interpolation

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2317
Author(s):  
Woo Young Choi ◽  
Jin Ho Yang ◽  
Chung Choo Chung
Keyword(s):  
Measurement Uncertainty ◽  
Relative Velocity ◽  
Tracking Error ◽  
Estimation Method ◽  
Position Error ◽  
Data Driven ◽  
Weighted Interpolation ◽  
Design Data ◽  
Feasible Set ◽  
Estimation Scheme

For accurate object vehicle estimation using radar, there are two fundamental problems: measurement uncertainties in calculating an object’s position with a virtual polygon box and latency due to commercial radar tracking algorithms. We present a data-driven object vehicle estimation scheme to solve measurement uncertainty and latency problems in radar systems. A radar accuracy model and latency coordination are proposed to reduce the tracking error. We first design data-driven radar accuracy models to improve the accuracy of estimation determined by the object vehicle’s position. The proposed model solves the measurement uncertainty problem within a feasible set for error covariance. The latency coordination is developed by analyzing the position error according to the relative velocity. The position error by latency is stored in a feasible set for relative velocity, and the solution is calculated from the given relative velocity. Removing the measurement uncertainty and latency of the radar system allows for a weighted interpolation to be applied to estimate the position of the object vehicle. Our method is tested by a scenario-based estimation experiment to validate the usefulness of the proposed data-driven object vehicle estimation scheme. We confirm that the proposed estimation method produces improved performance over the conventional radar estimation and previous methods.

Estimation of Failure Probability and its Applications in Reliability Data Analysis

2010 ◽  
Vol 118-120 ◽  
pp. 601-605
Author(s):  
Han Ming
Keyword(s):  
Parameter Estimation ◽  
Data Analysis ◽  
Bayesian Estimation ◽  
Failure Probability ◽  
Evaluation Method ◽  
Estimation Method ◽  
New Method ◽  
Reliability Parameter ◽  
Hierarchical Bayesian Estimation ◽  
Definition Of

Evaluation method of reliability parameter estimation needs to be improved effectively with the advance of science and technology. This paper develops a new method of parameter estimation, which is named E-Bayesian estimation method. In the case one hyper-parameter, the definition of E-Bayesian estimation of the failure probability is provided, moreover, the formulas of E-Bayesian estimation and hierarchical Bayesian estimation, and the property of E-Bayesian estimation of the failure probability are also provided. Finally, calculation on practical problems shows that the provided method is feasible and easy to perform.

scholarly journals A study on the effect of electrical stimulation as a user stimuli for motor imagery classification in Brain-Machine Interface

2016 ◽  
Vol 26 (2) ◽  
Author(s):  
Saugat Bhattacharyya ◽  
Maureen Clerc ◽  
Mitsuhiro Hayashibe
Keyword(s):  
Electrical Stimulation ◽  
Motor Imagery ◽  
Hand Movement ◽  
Movement Training ◽  
Peripheral Muscle ◽  
Motor Intention ◽  
Machine Interface ◽  
The Subject ◽  
Muscle Groups ◽  
Muscle Activations

Functional Electrical Stimulation (FES) provides a neuroprosthetic interface to non-recovered muscle groups by stimulating the affected region of the human body. FES in combination with Brain-machine interfacing (BMI) has a wide scope in rehabilitation because this system directly links the cerebral motor intention of the users with its corresponding peripheral muscle activations. In this paper, we examine the effect of FES on the electroencephalography (EEG) during motor imagery (left- and right-hand movement) training of the users. Results suggest a significant improvement in the classification accuracy when the subject was induced with FES stimuli as compared to the standard visual one.

scholarly journals Are Teaching Principles Associated With Improved Motor Performance in Children With Developmental Coordination Disorder? A Pilot Study

2006 ◽  
Vol 86 (9) ◽  
pp. 1221-1230 ◽  
Author(s):  
Anuschka S Niemeijer ◽  
Marina M Schoemaker ◽  
Bouwien CM Smits-Engelsman
Keyword(s):  
Motor Development ◽  
Motor Performance ◽  
Developmental Coordination Disorder ◽  
Physical Therapists ◽  
Gross Motor Development ◽  
Age Related ◽  
Teaching Principles ◽  
Movement Performance ◽  
Movement Assessment ◽  
Coordination Disorder

Abstract Background and Purpose. Physical therapists' teaching skills often are disregarded in research studies. We examined whether the use of different teaching principles during neuromotor task training was associated with treatment effects. Subjects. Nineteen children (mean age=7 years 5 months, range=5–10 years) who had developmental coordination disorder and who performed below the 15th percentile on the age-related Movement Assessment Battery for Children (M-ABC) and 11 physical therapists participated in the study. Methods. One intervention session for each child was videotaped. The frequency of the use of principles included in the motor teaching principles taxonomy (Niemeijer et al, 2003) was correlated with changes in motor performance on the M-ABC and the second edition of the Test of Gross Motor Development. Results. Providing clues on how to perform a task, asking children about a task, and explaining why a movement should be executed in a certain way were related to better movement performance. Discussion and Conclusion. Teaching principles may be associated with success in therapeutic situations.

Hand Movement Training in Braille Reading

1981 ◽  
Vol 75 (8) ◽  
pp. 327-331 ◽  
Author(s):  
Diane P. Wormsley
Keyword(s):  
Character Recognition ◽  
Hand Movement ◽  
Movement Pattern ◽  
Hand Movements ◽  
Dramatic Decrease ◽  
Movement Training ◽  
Perceptual Ability ◽  
Tracking Movements

Twenty-one children ages 6 though 13 were taught to use their hands independently when reading braille to determine how this pattern of hand movements affected reading variables, excluding character recognition. Although all the children learned this pattern of hand movements during the 20 days scheduled for training, only nine children exhibited a dramatic decrease in inefficient tracking movements such as pauses and scrubbing motions. Because these children were younger and more intelligent than the others, read braille more slowly, and had received less training in braille at school, the results strongly suggested that skill in tracking and use of an efficient hand movement pattern is closely tied to perceptual ability. Thus when teaching children to read braille, the motor aspects of the task should be combined with the perceptual aspects from the beginning.

The model-free adaptive cross-coupled control for two-dimensional linear motor

2019 ◽  
Vol 42 (5) ◽  
pp. 1059-1069
Author(s):  
Baolin Zhang ◽  
Rongmin Cao ◽  
Zhongsheng Hou
Keyword(s):  
Adaptive Control ◽  
Real Time ◽  
Error Estimation ◽  
Tracking Error ◽  
Estimation Method ◽  
Linear Motor ◽  
Experimental Comparison ◽  
Contour Error ◽  
Two Dimensional ◽  
Model Free

In order to improve the contour error accuracy of two-dimensional linear motor, an improved cross-coupled control (CCC) scheme combining real-time contour error estimation and model-free adaptive control (MFAC) is proposed. The real-time contour error estimation method is based on CCC theory and coordinate transformation idea. It can accurately determine the contour error point of regular contour and avoid the influence of tracking error on the contour error. At the same time, for the design of two-axis error controller, only the input and output data generated by two-dimensional linear motor in reciprocating motion are used to design a multiple input multiple output-model-free adaptive control (MIMO-MFAC) algorithm, this algorithm avoids the dependence on accurate mathematical model and reduces the control difficulty. The experimental comparison showed that the proposed method improves the system tracking accuracy and contour accuracy, and verifies the proposed method correctness and effectiveness.

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