Self-learning Based Motion Recognition Using Sensors Embedded in a Smartphone for Mobile Healthcare

2016 ◽  
pp. 343-355 ◽  
Author(s):  
Di Lu ◽  
Junqi Guo ◽  
Xi Zhou ◽  
Guoxing Zhao ◽  
Rongfang Bie
Keyword(s):  
Motion Recognition ◽  
Mobile Healthcare ◽  
Self Learning

scholarly journals A Control Strategy with Tactile Perception Feedback for EMG Prosthetic Hand

2015 ◽  
Vol 2015 ◽  
pp. 1-15 ◽  
Author(s):  
Changcheng Wu ◽  
Aiguo Song ◽  
Yun Ling ◽  
Nan Wang ◽  
Lei Tian
Keyword(s):  
Control Strategy ◽  
Position Control ◽  
Prosthetic Hand ◽  
Motion Recognition ◽  
Control Effectiveness ◽  
Hand Control ◽  
Force Tracking ◽  
Backstepping Controller ◽  
Grasp Force ◽  
Self Learning

To improve the control effectiveness and make the prosthetic hand not only controllable but also perceivable, an EMG prosthetic hand control strategy was proposed in this paper. The control strategy consists of EMG self-learning motion recognition, backstepping controller with stiffness fuzzy observation, and force tactile representation. EMG self-learning motion recognition is used to reduce the influence on EMG signals caused by the uncertainty of the contacting position of the EMG sensors. Backstepping controller with stiffness fuzzy observation is used to realize the position control and grasp force control. Velocity proportional control in free space and grasp force tracking control in restricted space can be realized by the same controller. The force tactile representation helps the user perceive the states of the prosthetic hand. Several experiments were implemented to verify the effect of the proposed control strategy. The results indicate that the proposed strategy has effectiveness. During the experiments, the comments of the participants show that the proposed strategy is a better choice for amputees because of the improved controllability and perceptibility.

ANALYSIS OF STUDENT ACTIVITIES ON COMPUTER - A STUDY ON PUNJAB UNIVERSITY, INDIA

2012 ◽  
Vol 3 (3) ◽  
pp. 354-358
Author(s):  
Dr Gunmala Suri ◽  
Sneha Sharma
Keyword(s):  
Learning Activities ◽  
Information Collection ◽  
Learning Tools ◽  
Student Activities ◽  
Group Activities ◽  
E Learning ◽  
Faculty Department ◽  
Self Learning

The purpose of this research is to investigate and understand how students are using computer. The activities that a student undertakes with the help of computers which might be fulfilling some academic or non academic purpose, is of great interest. It will help in understanding the limitations and potentials offered by the technology for use of computer in classroom. This paper brings out the three major kinds of activities that students undertake with computer; self learning activities, Information collection tasks and communication and group activities. The study further analyses the effect of demographics i.e. gender, age and faculty (department) of students on the activities with computer. The results show that gender has no impact on the activities of students with computer. The age impacts only the activities related to Information collection by using computer where as the faculty of student significantly impacts all the activities viz. self learning activities, Information collection tasks and communication and group activities. The findings from this research can be used in designing future e-learning initiatives and development e-learning tools

Professional Activities of Teacher-Andragogue (Foreign Experience)

2014 ◽  
Vol 4 (3) ◽  
pp. 26-30 ◽  
Author(s):  
Larysa Lukianova
Keyword(s):  
Adult Education ◽  
Education System ◽  
Professional Activity ◽  
Social Functions ◽  
Foreign Experience ◽  
Professional Activities ◽  
Technological Organization ◽  
Integral Role ◽  
Role Position ◽  
Self Learning

Abstract The idea of the conceptualization of adult education has been postulated in the article including its significant differences. The leading distinguishing feature is the personality of pedagogical staff that works with adults. It has been substantiated the dependence of the functions which are performed by pedagogical staff in the adult education system, on the main characteristics of the society. It has been shown the content of the integral-role position of a pedagogue-andragogue which has 3 elements: subject and content, project and technological, organization and diagnostic. The professional activity of a pedagogue-andragogue has been analyzed as the specialist who professionally organizes and conducts adult training and learning, helps create individual programs of training. At the same time, in his/her activity he/she combines different social functions as well. The most typical are to provide the help in renovating the motivation towards learning and professional activity, to combine the content both andragogical and professional activity of his/her learners, to share the methods of supervising adult self-learning.

Pengaruh Penggunaan Model Pembelajaran dan Konsep Diri terhadap Kemampuan Berpikir Kretif Mahasiswa

2015 ◽  
Vol 3 (3) ◽  
Author(s):  
Nurul Hikmah
Keyword(s):  
Significant Interaction ◽  
Creative Thinking ◽  
Study Groups ◽  
Learning Model ◽  
Descriptive Statistics ◽  
Self Concept ◽  
Significant Interaction Effect ◽  
Significant Difference ◽  
Written Test ◽  
Self Learning

<p>The purpose of this study were to determine: 1) the influence of the learning <br />model of creative thinking; 2) the influence of self-concept to think creatively, and 3) the influence of the interaction and the concept of self-learning model for creative thinking. The research method used was experimental method. A sample of 80 people selected at random from the 13 study groups. The data was collected by administering a written test questions to measure variables studied. Data analysis using descriptive statistics and 2-way ANOVA. The results showed: 1) a significant difference to the learning model with the ability to think creatively sig = 0.000; 2) there is a significant effect of self-concept of <br />the ability to think creatively with sig = 0.000, and 3) there is a significant interaction effect of learning model and self-concept of the ability to think creatively with sig = 0.018. </p>

Operon Prediction Based On an Iterative Self-learning Algorithm*

2011 ◽  
Vol 38 (7) ◽  
pp. 642-651
Author(s):  
Wen-Qi Wu ◽  
Xiao-Bin ZHENG ◽  
Yong-Chu LIU ◽  
Kai TANG ◽  
Huai-Qiu ZHU
Keyword(s):  
Learning Algorithm ◽  
Operon Prediction ◽  
Self Learning
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