HAND GRASP FUNCTION ANALYSIS BASED ON VF SET

2013 ◽  
Vol 10 (03) ◽  
pp. 1350026 ◽  
Author(s):  
QIANG ZHAN ◽  
XIANCAN LIU
Keyword(s):  
Function Analysis ◽  
Degree Of Freedom ◽  
Human Hand ◽  
Virtual Finger ◽  
Detailed Classification ◽  
Hand Grasp ◽  
Motion Types

This paper presents a method based on virtual finger (VF) set to analyze the grasp function of bionic hand. In order to exactly represent different function units of human hand or bionic hand a more detailed classification of VF is proposed to divide VF into three types: VFFE, VFAA and VFPalm, of which a VF set describing hand grasp can be composed. The VF set cannot only describe the degree of freedom (DOF) distribution of human hand or bionic hand but also indicate which fingers take part in grasp and what motion types the fingers are. The VF sets of eight classic bionic hands and five basic human hand grasp postures are provided. The inclusion relationship between the VF set of a bionic hand and those of the basic human hand grasp postures is used to analyze the grasp function of a bionic hand. As examples the grasp functions of several classic bionic hands, such as i-LIMB Hand, HIT/DLR Hand, etc. are analyzed.

scholarly journals Human Hand Anatomy-Based Prosthetic Hand

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 137
Author(s):  
Larisa Dunai ◽  
Martin Novak ◽  
Carmen García Espert
Keyword(s):  
3D Printing ◽  
Degrees Of Freedom ◽  
Use Of Force ◽  
Hand Movements ◽  
Human Hand ◽  
Prosthetic Hand ◽  
Object Surface ◽  
Hand Phalanges ◽  
High Level

The present paper describes the development of a prosthetic hand based on human hand anatomy. The hand phalanges are printed with 3D printing with Polylactic Acid material. One of the main contributions is the investigation on the prosthetic hand joins; the proposed design enables one to create personalized joins that provide the prosthetic hand a high level of movement by increasing the degrees of freedom of the fingers. Moreover, the driven wire tendons show a progressive grasping movement, being the friction of the tendons with the phalanges very low. Another important point is the use of force sensitive resistors (FSR) for simulating the hand touch pressure. These are used for the grasping stop simulating touch pressure of the fingers. Surface Electromyogram (EMG) sensors allow the user to control the prosthetic hand-grasping start. Their use may provide the prosthetic hand the possibility of the classification of the hand movements. The practical results included in the paper prove the importance of the soft joins for the object manipulation and to get adapted to the object surface. Finally, the force sensitive sensors allow the prosthesis to actuate more naturally by adding conditions and classifications to the Electromyogram sensor.

The twelve-month outcome of patients with neurotic illness in general practice

1981 ◽  
Vol 11 (3) ◽  
pp. 535-550 ◽  
Author(s):  
A. H. Mann ◽  
R. Jenkins ◽  
E. Belsey
Keyword(s):  
Social Life ◽  
Function Analysis ◽  
Psychiatric Morbidity ◽  
The Social ◽  
Assessment Measures ◽  
Psychiatric State ◽  
One Year

SYNOPSISOne hundred patients, selected to be representative of those attending general practitioners with non-psychotic psychiatric disorders were followed up for one year. standard assessments of mental state, personality, social stresses and supports were carried out for each patient at the outset and after a year.The outcome for this cohort determined both by the level of psychiatric morbidity at interview after one year and by the pattern of the psychiatric morbidity during the year has been analysed with reference to the assessment measures. Discriminant function analysis indicates that the initial estimate of the severity of the psychiatric morbidity and a rating of the quality of the social life at the time of follow-up are the only factors that significantly predict the psychiatric state after one year. Social measures also predict a pattern of illness charactorized by a rapid recovery after the initial assessemtn. Patients who reported continuous psychiatric morbidity during the year were, older, physically ill and very likely to have recevied psychotropic drugs. Receipt of this medication during the year was associated with initial assessments of abnormality of personality, older age, and a diagnosis of depression.The findings of this study are seen to support a triaxial assessment and classification of non-psychotic psychiatirc disorders, with symptoms, personality and social state being rated independently.

scholarly journals Classification of right-hand grasp movement based on EMOTIV Epoc+

2017 ◽  
Author(s):  
T. A. M. L. Tobing ◽  
Prawito ◽  
S. K. Wijaya
Keyword(s):  
Right Hand ◽  
Hand Grasp

scholarly journals Differences in the whistle characteristics and repertoire of Bottlenose and Spinner Dolphins

2004 ◽  
Vol 76 (2) ◽  
pp. 386-392 ◽  
Author(s):  
Carmen Bazúa-Durán
Keyword(s):  
Geographic Variation ◽  
Discriminant Function Analysis ◽  
Bottlenose Dolphin ◽  
Function Analysis ◽  
Bottlenose Dolphins ◽  
Constant Frequency ◽  
Spinner Dolphin ◽  
Time Parameters ◽  
Spinner Dolphins

Several methods have been used to compare the whistles produced by dolphins. The two methods used in this study are: (1) a classification of whistle contours in six categories (i.e. constant frequency, upsweep, downsweep, concave, convex, and sine) and (2) the extraction of frequency and time parameters from each whistle contour. Bottlenose Dolphin Tursiops truncatus whistles are described in the same way when comparing whistle contour distributions in each of the six categories and whistle frequency and time parameters using Discriminant Function Analysis. For Spinner Dolphin Stenella longirostris whistles, each method describes whistles differently. Several facts may explain these differences in describing dolphin whistles, such as a greater fluidity of Spinner Dolphin groups when compared to Bottlenose Dolphin groups, greater geographic variation in the whistles of Bottlenose Dolphins than in those of Spinner Dolphins, an average beginning frequency 16% lower than the average ending frequency in Spinner Dolphin whistles compared to a varied relationship for Bottlenose Dolphins, and stricter criteria used to define whistle contour categories in the study of Spinner Dolphin whistles than in the Bottlenose Dolphin whistle study.

scholarly journals Analysis and Classification of Mitigation Tools against Cyberattacks in COVID-19 Era

2021 ◽  
Vol 2021 ◽  
pp. 1-21
Author(s):  
George Iakovakis ◽  
Constantinos-Giovanni Xarhoulacos ◽  
Konstantinos Giovas ◽  
Dimitris Gritzalis
Keyword(s):  
Computer Networks ◽  
Risk Mitigation ◽  
Security Risks ◽  
Work From Home ◽  
Detailed Classification ◽  
Threat Intelligence ◽  
One Step ◽  
Automated Tools ◽  
Cyber Threat Intelligence

The COVID-19 outbreak has forced businesses to shift to an unprecedented “work from home” company environment. While this provides advantages for employees and businesses, it also leads to a multitude of shortcomings, most prevalent of which is the emergence of additional security risks. Previous to the outbreak, company computer networks were mainly confined within its facilities. The pandemic has now caused this network to “spread thin,” as the majority of employees work remotely. This has opened up a variety of new vulnerabilities, as workers’ cyber protection is not the same at home as it is in office. Although the effects of the virus are now subsiding, working remotely has embedded itself as the new normal. Thus, it is imperative for company management to take the necessary steps to ensure business continuity and be prepared to deal with an increased number of cyber threats. In our research, we provide a detailed classification for a group of tools which will facilitate risk mitigation and prevention. We also provide a selection of automated tools such as vulnerability scanners, monitoring and logging tools, and antivirus software. We outline each tool using tables, to show useful information such as advantages, disadvantages, scalability, cost, and other characteristics. Additionally, we implement decision trees for each category of tools, in an attempt to assist in navigating the large amount of information presented in this paper. Our objective is to provide a multifaceted taxonomy and analysis of mitigation tools, which will support companies in their endeavor to protect their computer networks. Our contribution can also help companies to have some type of cyber threat intelligence so as to put themselves one step ahead of cyber criminals.

scholarly journals A STATE OF ART AND PROSPECTS OF USED PNEUMATIC TIRES MANAGEMENT (REVIEW)

2021 ◽  
pp. 63-83
Author(s):  
I.O. Mikulionok
Keyword(s):  
Critical Analysis ◽  
Raw Materials ◽  
Chemical Processing ◽  
Detailed Classification ◽  
The World ◽  
Intended Use ◽  
State Of Art ◽  
Frag Ments ◽  
Pneumatic Tires

The basic data on the volume of production of pneumatic tires in the world and in Ukraine are presented. The need to improve the ways of handling pneumatic tires that have lost their con-sumer properties (worn out tires as a result of their intended use and tires rejected as a result of passing quality control during their manufacture) is shown as one of the most dangerous for the environment and promising in terms of using their properties. A detailed classification of methods for handling worn out and defective tires is proposed and a critical analysis of each of them is given. Particular attention is paid to the methods of utilization of tires, in particular, recycling, which makes it possible to efficiently use the secondary raw materials obtained from tires directly for their intended purpose. The features of physical, physicochemical and chemical processing methods, in particular combustion, gasification, pyrolysis of tires and their frag-ments, as well as the prospects for their decomposition under the influence of environmental factors, in particular microorganisms, are also considered. The main ways of solving the prob-lem of tires that have lost their consumer properties in Ukraine are proposed. Bibl. 88, Fig. 2.

scholarly journals Pattern Recognition by Hierarchical Feature Extraction

2003 ◽  
Vol 15 (3) ◽  
pp. 278-285
Author(s):  
Daigo Misaki ◽  
◽  
Shigeru Aomura ◽  
Noriyuki Aoyama
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Pattern Recognition ◽  
Feature Extraction ◽  
Input Data ◽  
Local Features ◽  
Detailed Classification

We discuss effective pattern recognition for contour images by hierarchical feature extraction. When pattern recognition is done for an unlimited object, it is effective to see the object in a perspective manner at the beginning and next to see in detail. General features are used for rough classification and local features are used for a more detailed classification. D-P matching is applied for classification of a typical contour image of individual class, which contains selected points called ""landmark""s, and rough classification is done. Features between these landmarks are analyzed and used as input data of neural networks for more detailed classification. We apply this to an illustrated referenced book of insects in which much information is classified hierarchically to verify the proposed method. By introducing landmarks, a neural network can be used effectively for pattern recognition of contour images.

scholarly journals Discrimination study between carcass yield and meat quality by gender in Korean native cattle (Hanwoo)

2020 ◽  
Vol 33 (7) ◽  
pp. 1202-1208
Author(s):  
Do-Gyun Kim ◽  
Joon-Yong Shim ◽  
Byoung-Kwan Cho ◽  
Collins Wakholi ◽  
Youngwook Seo ◽  
...  
Keyword(s):  
Meat Quality ◽  
Function Analysis ◽  
Statistical Significance ◽  
Significance Test ◽  
Carcass Yield ◽  
Yield And Quality ◽  
Quality Grade ◽  
Native Cattle

Objective: The aim of this study was to identify a distribution pattern of meat quality grade (MQG) as a function of carcass yield index (CYI) and the gender of Hanwoo (bull, cow, and steer) to determine the optimum point between both yield and quality. We also attempted to identify how pre- and post-deboning variables affect the gender-specific beef quality of Hanwoo.Methods: A total of 31 deboning variables, consisting of 7 pre-deboning and 24 post-deboning variables from bulls (n = 139), cows (n = 69), and steers (n = 153), were obtained from the National Institute of Animal Science (NIAS) in South Korea. The database was reconstructed to be suitable for a statistical significance test between the CYI and the MQG as well as classification of meat quality. Discriminant function analysis was used for classifying MQG using the deboning parameters of Hanwoo by gender.Results: The means of CYI according to 1+, 1, 2, and 3 of MQG were 68.64±2.02, 68.85±1.94, 68.62±5.88, and 70.99±3.32, respectively. High carcass yield correlated with low-quality grade, while high-quality meat most frequently was obtained from steers. The classification ability of pre-deboning parameters was higher than that of post-deboning parameters. Moisture and the shear force were the common significant parameters in all discriminant functions having a classification accuracy of 80.6%, 71%, and 56.9% for the bull, cow, and steer, respectively.Conclusion: This study provides basic information for predicting the meat quality by gender using pre-deboning variables consistent with the actual grading index.

scholarly journals Classification of fish and non-fish acoustic tracks using discriminant function analysis

2012 ◽  
Vol 69 (2) ◽  
pp. 313-322 ◽  
Author(s):  
Yunbo Xie ◽  
Catherine G. J. Michielsens ◽  
Fiona J. Martens
Keyword(s):  
Discriminant Function ◽  
Discriminant Function Analysis ◽  
Function Analysis ◽  
Fish Populations ◽  
Fraser River ◽  
Discriminating Power ◽  
Sonar System ◽  
Stationary Objects ◽  
Individual Variables

Abstract Xie, Y., Michielsens, C. G. J., and Martens, F. J. 2012. Classification of fish and non-fish acoustic tracks using discriminant function analysis. – ICES Journal of Marine Science, 69: 313–322. Hydroacoustic data acquired for estimating fish populations contain information on both fish and non-fish targets, so sonar technicians traditionally rely on their knowledge of fish behaviour and experience with hydroacoustics to remove non-fish targets from the hydroacoustic data. This process is often labour-intensive and time-consuming, making real-time assessment of fish populations difficult. Simple solutions are not always available for all circumstances. However, the split-beam sonar data collected in the lower Fraser River, British Columbia, Canada, showed distinct signatures between actively swimming fish and non-fish objects such as drifting debris, surface bubbles, and stationary objects in the water column and off the river bottom. Acoustic tracks of fish and non-fish targets were characterized by differentiable statistical patterns that were amenable to discriminant function analysis (DFA). An application of DFA to segregate fish and non-fish targets detected by a split-beam sonar system in the lower Fraser River is presented, characteristics of user-identified fish and non-fish acoustic tracks being utilized as learning samples for the DFA. Also, a method to rank the discriminating power of individual variables is presented, providing guidance for constructing efficient and effective discriminant functions with variables that offer high discriminating power. The DFA yielded classification accuracies of 96% for fish and 91% for non-fish tracks and reduced the manual sorting time by 50–75%.

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