Prediction of Target Object Based on Human Hand Movement for Handing-Over between Human and Self-Moving Trays

2006 ◽  
Author(s):  
Yusuke Tamura ◽  
Masao Sugi ◽  
Jun Ota ◽  
Tamio Arai
Keyword(s):  
Hand Movement ◽  
Target Object ◽  
Human Hand ◽  
Object Based

scholarly journals Design and multichannel electromyography system-based neural network control of a low-cost myoelectric prosthesis hand

2021 ◽  
Vol 12 (1) ◽  
pp. 69-83
Author(s):  
Saygin Siddiq Ahmed ◽  
Ahmed R. J. Almusawi ◽  
Bülent Yilmaz ◽  
Nuran Dogru
Keyword(s):  
Neural Network ◽  
Control Method ◽  
Low Cost ◽  
Hand Movement ◽  
Cost Effective ◽  
Network Control ◽  
Human Hand ◽  
Prosthetic Hand ◽  
Myoelectric Prosthesis ◽  
System File

Abstract. This study introduces a new control method for electromyography (EMG) in a prosthetic hand application with a practical design of the whole system. The hand is controlled by a motor (which regulates a significant part of the hand movement) and a microcontroller board, which is responsible for receiving and analyzing signals acquired by a Myoware muscle device. The Myoware device accepts muscle signals and sends them to the controller. The controller interprets the received signals based on the designed artificial neural network. In this design, the muscle signals are read and saved in a MATLAB system file. After neural network program processing by MATLAB, they are then applied online to the prosthetic hand. The obtained signal, i.e., electromyogram, is programmed to control the motion of the prosthetic hand with similar behavior to a real human hand. The designed system is tested on seven individuals at Gaziantep University. Due to the sufficient signal of the Mayo armband compared to Myoware sensors, Mayo armband muscle is applied in the proposed system. The discussed results have been shown to be satisfactory in the final proposed system. This system was a feasible, useful, and cost-effective solution for the handless or amputated individuals. They have used the system in their day-to-day activities that allowed them to move freely, easily, and comfortably.

scholarly journals Object-based Selection of Irrelevant Features Is Not Confined to the Attended Object

2011 ◽  
Vol 23 (9) ◽  
pp. 2231-2239 ◽  
Author(s):  
Carsten N. Boehler ◽  
Mircea A. Schoenfeld ◽  
Hans-Jochen Heinze ◽  
Jens-Max Hopf
Keyword(s):  
Visual Search ◽  
Visual Field ◽  
Target Object ◽  
Neural Processing ◽  
Irrelevant Feature ◽  
Distractor Object ◽  
Object Based ◽  
Irrelevant Color ◽  
Task Irrelevant ◽  
Selection Of

Attention to one feature of an object can bias the processing of unattended features of that object. Here we demonstrate with ERPs in visual search that this object-based bias for an irrelevant feature also appears in an unattended object when it shares that feature with the target object. Specifically, we show that the ERP response elicited by a distractor object in one visual field is modulated as a function of whether a task-irrelevant color of that distractor is also present in the target object that is presented in the opposite visual field. Importantly, we find this modulation to arise with a delay of approximately 80 msec relative to the N2pc—a component of the ERP response that reflects the focusing of attention onto the target. In a second experiment, we demonstrate that this modulation reflects enhanced neural processing in the unattended object. These observations together facilitate the surprising conclusion that the object-based selection of irrelevant features is spatially global even after attention has selected the target object.

Human Hand Movement Analysis Using Principle Component Analysis Classifier

2013 ◽  
Vol 284-287 ◽  
pp. 3126-3130 ◽  
Author(s):  
Ching Yee Yong ◽  
Rubita Sudirman ◽  
Nasrul Humaimi Mahmood ◽  
Kim Mey Chew
Keyword(s):  
Hand Movement ◽  
Arm Movement ◽  
Movement Analysis ◽  
Human Motion ◽  
Human Hand ◽  
Human Arm ◽  
Set Up ◽  
And Behavior ◽  
Adequate Internal Consistency

This study investigates and acts as a trial clinical outcome for human motion and behavior analysis in order to investigate human arm movement during jogging and walking. It was developed to analyze and access the quality of human motion that can be used in hospitals, clinics and human motion researches. It aims to establish how widespread the movement and motion of arm will bring to effect of human in life. An experiment was set up in a laboratory environment with conjunction of analyzing human motion and its behavior. The instruments demonstrate adequate internal consistency of optimum scatter plot in gyroscope and accelerometer for pattern classification. PCA used in this study was successfully differentiate and classify

A Research on MapReduce-Based Redundancy Pruning for Record Linkage

2013 ◽  
Vol 753-755 ◽  
pp. 3009-3013
Author(s):  
Feng Yu Yang ◽  
Ying Chen
Keyword(s):  
Record Linkage ◽  
Target Object ◽  
High Recall ◽  
Improve Efficiency ◽  
Object Based ◽  
Similarity Computation ◽  
Mapreduce Model

To improve efficiency for record linkage with keeping high recall, technique of multiple signatures that groups an object into several clusters have been applied in many domains. Thus leads to redundant comparisons for a pair of source and target object. Based on MapReduce model, we propose a redundancy pruning approach to prune redundant pairs before final similarity computation. Our approach is implemented on two consecutive MapReduce phase, and then is evaluated on 2 practical datasets and shows good pruning ability.

Complex Unconstrained Three-Dimensional Hand Movement and Constant Equi-Affine Speed

2009 ◽  
Vol 101 (2) ◽  
pp. 1002-1015 ◽  
Author(s):  
Uri Maoz ◽  
Alain Berthoz ◽  
Tamar Flash
Keyword(s):  
Power Law ◽  
Hand Movement ◽  
Three Dimensional ◽  
Hand Movements ◽  
Human Hand ◽  
Local Geometry ◽  
Planning And Control ◽  
Human Movements ◽  
And Control ◽  
Geometry And Kinematics

One long-established simplifying principle behind the large repertoire and high versatility of human hand movements is the two-thirds power law—an empirical law stating a relationship between local geometry and kinematics of human hand trajectories during planar curved movements. It was further generalized not only to various types of human movements, but also to motion perception and prediction, although it was unsuccessful in explaining unconstrained three-dimensional (3D) movements. Recently, movement obeying the power law was proved to be equivalent to moving with constant planar equi-affine speed. Generalizing such motion to 3D space—i.e., to movement at constant spatial equi-affine speed—predicts the emergence of a new power law, whose utility for describing spatial scribbling movements we have previously demonstrated. In this empirical investigation of the new power law, subjects repetitively traced six different 3D geometrical shapes with their hand. We show that the 3D power law explains the data consistently better than both the two-thirds power law and an additional power law that was previously suggested for spatial hand movements. We also found small yet systematic modifications of the power-law's exponents across the various shapes, which further scrutiny suggested to be correlated with global geometric factors of the traced shape. Nevertheless, averaging over all subjects and shapes, the power-law exponents are generally in accordance with constant spatial equi-affine speed. Taken together, our findings provide evidence for the potential role of non-Euclidean geometry in motion planning and control. Moreover, these results seem to imply a relationship between geometry and kinematics that is more complex than the simple local one stipulated by the two-thirds power law and similar models.

The role of the left somatosensory cortex in human hand movement

1995 ◽  
Vol 106 (3) ◽  
Author(s):  
B. Okuda ◽  
H. Tanaka ◽  
Y. Tomino ◽  
K. Kawabata ◽  
H. Tachibana ◽  
...  
Keyword(s):  
Somatosensory Cortex ◽  
Hand Movement ◽  
Human Hand
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