Frequency based Classification of Activities using Accelerometer Data

This work presents, the classification of user activities such as Rest, Walk and Run, on the basis of frequency component present in the acceleration data in a wireless sensor network environment. As the frequencies of the above mentioned activities differ slightly for different person, so it gives a more accurate result. The algorithm uses just one parameter i.e. the frequency of the body acceleration data of the three axes for classifying the activities in a set of data. The algorithm includes a normalization step and hence there is no need to set a different value of threshold value for magnitude for different test person. The classification is automatic and done on a block by block basis.Comment: IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2008. MFI 200

Care coordination in bone health screening between individual behaviors and health care services among Korean-American women across three age groups

Integrated continuous care is important to prevent and treat brittle bone status in the aging process; however, minority groups often have limited access to health services. The purpose of this study was to identify the care coordination among women’s perceptions about their bone health, information from health care providers, and the results of Bone Mineral Density (BMD) tests across three age groups. The study was a cross-sectional comparative design. A total of 63 Korean American women completed both the assessment of BMD of the femoral neck and an interview survey. One’s own risks of osteoporosis, screening behaviors, and health care providers’ advice were analyzed according to three age (pre-, peri-, and post-menopausal) groups, BMD levels, and health insurance coverage. Overall, health insurance coverage and having a primary health care provider of Korean American women were 59.0% and 32.0%, respectively; 61.9% had lower than normal BMD levels, which were significantly increased by advanced age. Individual awareness of risks of osteoporosis and screening behaviors were significantly higher in peri-menopausal than in pre- and post-menopausal groups, but no differences were found in health care providers’ information. The awareness and care providers’ information by BMD level or health insurance did not differ. The findings show a discrepancy between individual perceptions and behaviors and health care providers’ recommendations regard to bone health. Health behaviors should be guided by professional health care providers. The women in the post-menopausal stage need to be educated about the high risk of osteoporosis and its management

The “Singapore Model” in Gaming: Applications in South Korea

The gaming governance system in Singapore is a very well-known and internationally renowned model. Singapore began to launch their gaming regulation system in 2005 by establishing a national framework on gambling prior to opening two integrated resorts in the country in 2010 (Winslow, Cheok, & Subramaniam, 2015). In contrast, the South Korean “model” is much less renowned. Though there have been discussions about introducing full-scale integrated resorts, the government currently allows South Korean citizens to gamble in only one property - Kangwon Land (Research, 2016). However, Kangwon Land’s situation is controversial in South Korea, with concerns about problem gambling issues arising from the very beginning. The gambling addiction rate of South Korea in 2012 study conducted by National Gaming Control Commission, was 6.1%, which was significantly higher than that of Singapore which was only 0.2% in 2014 (though it should be noted, measurement differences are common in this field). This gambling addiction rate also appears to be high compared to some other countries such as the U.K. (2.5%), Australia (2.4%), and France (1.3%) (The Chosunilbo, 2012)

Lepton flavour violation in a nonuniversal gauge interaction model

The flavour-changing neutral currents (FCNC) are derived at tree level if the electroweak gauge group depends on the fermion family, which are absent in the standard model. We study the lepton flavour violation (LFV) through the FCNC interactions in a nonuniversal gauge interaction model where the third generation fermions are subjected to the separate SU(2)$_L$ gauge group.Comment: 5 pages, 2 figure

High Accuracy Human Activity Monitoring using Neural network

This paper presents the designing of a neural network for the classification of Human activity. A Triaxial accelerometer sensor, housed in a chest worn sensor unit, has been used for capturing the acceleration of the movements associated. All the three axis acceleration data were collected at a base station PC via a CC2420 2.4GHz ISM band radio (zigbee wireless compliant), processed and classified using MATLAB. A neural network approach for classification was used with an eye on theoretical and empirical facts. The work shows a detailed description of the designing steps for the classification of human body acceleration data. A 4-layer back propagation neural network, with Levenberg-marquardt algorithm for training, showed best performance among the other neural network training algorithms.Comment: 6 pages, 4 figures, 4 Tables, International Conference on Convergence Information Technology, pp. 430-435, 2008 Third International Conference on Convergence and Hybrid Information Technology, 200