• Child Health Nursing Research
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• v.22 no.4
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• pp.346-354
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• 2016

Purpose: The purpose of this study was to investigate the use of smartphones to address parents' educational needs. Methods: The participants were parents of children under 18 years old, Participants were 347 parents (222 mothers, 125 fathers). Data were collected from August, 15 to September, 2, 2016 using self-report questionnaire. Data were analyzed using descriptive statistics, t-test and ANOVA with the SPSS WIN 21.0 program. Results: Parents had an average score of 3.30 (${\pm}.41$) for the need to have smartphone health education. Among the educational subcategories, 'child and family' showed the highest average for educational needs (3.40, ${\pm}57$). According to the demographic characteristics of the participants, there were significant difference in parents' age (t=4.354, p=.014), and parents' who have received health education versus parents who have not (t=2.483, p=.014). Conclusion: Findings indicate that the smartphone may be an effective educational method for parents.

• Journal of the Optical Society of Korea
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• v.17 no.3
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• pp.249-254
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• 2013

In ophthalmology, a pupillometer, a device to measure the diameter of the pupil of the eye, can provide information on the function of the autonomic nervous system. The current pupillometers on the market are either too large to be a handheld instrument, or relatively expensive. In this study, a pupillometer based on a smartphone was designed. Both white and infrared LEDs and a 3M pixel camera of a smartphone were applied for the visual stimuli to an eye and for the acquisition of the eye images, respectively. Contrary to the existing method of pupil measurement that usually observe the variation of pupil diameter, the proposed algorithm in this study was applied to calculate the constriction ratio of the pupillary area in response to pupillary light reflex. The results showed that the constriction ratio of the pupillary area were all in the normal range (above 4.0) from the sixteen healthy participants. It is believed that the approach to pupil measurement used in this study is suitable for a mobile interface, and this system can be applied to clinical research, home-use healthcare, and distributed to some areas which suffer from problems like a lack of medical support.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.24 no.1
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• pp.60-71
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• 2017

Purpose: The purpose of this study was to develop video assisted education on bowel preparation for colonoscopy (VEBPC) and use a snartphone to evaluate effects of the VEBPC. Methods: Adult patients who were scheduled for colonoscopy were recruited from a university general hospital and randomly assigned to three groups. Group 1 (n=30) watched the video using a computer set in the endoscope consulting room. Group 2 (n=29) watched it using a smartphone, and group 3, the control group (n=29) received education with existing instructions at the reservation-reception desk. Participants were evaluated on knowledge on taking bowel preparation agents and diet, compliance on taking bowel preparation agents and diet, satisfaction with education, and actual level of bowel preparation. Results: Group 1 and 2 showed significantly (p<.001) higher scores for knowledge, compliance, and satisfaction compared to the control group. However, in post-hoc test analyses there were no significant differences in these variables between group 1 and 2. No significant difference was found in the actual level of bowel preparation among the three groups. Conclusion: Findings from this study show that VEBPC using smartphone is a better option than existing educational methods. However, replication studies are necessary to confirm these findings.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.9
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• pp.2064-2071
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• 2012

The generalization trend of smart phones have brought many smartphone games into daily lives. These games are mainly dependent on the interactions on the display of the phone using finger touches. On the other hand, functions for detecting the positions and actions of the phones such as gyro-sensors have been rapidly developed over the former orientation sensors and acceleration sensors. Though it has become technologically possible to detect the users' motion via the smartphone devices and to use the phone device directly as the game device, it is hard to find the actualized cases. This paper proposes a new paradigm including basic frameworks and algorithm for the games combining the motion recognitions and mutual communications on the smartphones and finally presents the details of its implementation and results.

• Journal of Home Health Care Nursing
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• v.21 no.1
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• pp.44-51
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• 2014

Purpose: University life is a very significant period for students, during which they have to nurture their personality to help them adapt to life after graduation. However, excessive use of smartphones has been observed to causes increasingly severe isolation and unstable emotional conditions among students. Therefore, this descriptive study aimed to identify the level of smartphone addiction in college students and its relationship with their emotional intelligence and self-control. Method: A total of 232 college students participated in the study. A, questionnaire was used, which comprised 59 structured questions on smartphone addiction (15 questions), emotional intelligence (23 questions), and self-control (21 questions). Results: The findings revealed that the addiction rate of the subjects was at a marked 25.5%. This was higher than that of Korean adults in 2012, (11%). Further, the higher the addiction level, the lower was the participants' emotional intelligence (r=-0.177, p<0.007) and self-control (r=-0.418, p<0.001). Furthermore, when their emotional intelligence was higher, so was their self-control (r=.502, p<.001). Conclusion: Those at a high risk for smartphone addiction need to be identified early, and an appropriate. Program needs to be developed to prevent such addiction.

• International Journal of Contents
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• v.9 no.2
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• pp.14-21
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• 2013

Current smartphone authentication systems are deemed inconvenient and difficult for users on remembering their password as well as privacy issues on stolen or forged biometrics. New authentication system is demanded to be implicit to users with very minimum user involvement being. This idea aims towards a future model of authentication system for smartphones users without users realizing them being authenticated. We use the most frequent activity that users carry out with their smartphone, which is the calling activity. We derive two basics related interactions that are first factor being arm's flex (AF) action to pick a phone to be near ones' ears and then once getting near ear using second factor from ear shape image. Here, we combine behavior biometrics from AF in first factor and physical biometrics from ear image in second factor. Our study shows our dual-factor authentication system does not require explicit user interaction thereby improving convenience and alleviating burden from users from persistent necessity to remember password. These findings will augment development of novel implicit authentication system being transparent, easier, and unobtrusive for users.

• KIPS Transactions on Computer and Communication Systems
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• v.5 no.2
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• pp.27-32
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• 2016

Several sensor devices have been developed for monitoring individual's health and status information and services which visualize customized information by associating applications running on smartphones with sensor devices also have been emerged. Though these applications provide similar information to a user, each sensor device has its own application caused by non-standardized packet formats. In this paper, we propose a sensor device identification for dynamic interworking between a smartphone and personal sensor devices. In the proposed scheme, we can use the same application which plays role of a client on the smartphone as changing sensor devices because server stores packet information of sensor devices.

• Journal of Convergence for Information Technology
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• v.9 no.11
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• pp.22-27
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• 2019

Along with the universalization of smartphones, smartphone addiction is becoming a physical and mental social problem. The purpose of this study was to investigate the relevance of the problems caused by addiction in 300 adolescents, adults and the elderly. The results showed that the use of SNS and messenger were most related to the negative factors such as health problems, depression, antisocial, schizophrenia, lower self-esteem, and lower social expectation. In addition, games and videos were analyzed to have relatively low negative problems. Focusing on the high addiction rate, the researcher further analyzed the preference for problem solution and discussed the improvement measures for smartphone addiction reduction.

• Smart Structures and Systems
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• v.18 no.3
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• pp.625-642
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• 2016

The rapid technology developments in smartphones have created a significant opportunity for their use in structural live load measurements. This paper presents extensive experiments conducted in two stages to investigate this opportunity. Shaking table tests were carried out in the first stage using selected popular smartphones to measure the sinusoidal waves of various frequencies, the sinusoidal sweeping, and earthquake waves. Comparison between smartphone measurements and real inputs showed that the smartphones used in this study gave reliable measurements for harmonic waves in both time and frequency domains. For complex waves, smartphone measurements should be used with caution. In the second stage, three-dimensional motion capture technology was employed to explore the capacity of smartphones for measuring the movement of individuals in walking, bouncing and jumping activities. In these tests, reflective markers were attached to the test subject. The markers' trajectories were recorded by the motion capture system and were taken as references. The smartphone measurements agreed well with the references when the phone was properly fixed. Encouraged by these experimental validation results, smartphones were attached to moving participants of this study. The phones measured the acceleration near the center-of-mass of his or her body. The human-induced loads were then reconstructed by the acceleration measurements in conjunction with a biomechanical model. Satisfactory agreement between the reconstructed forces and that measured by a force plate was observed in several instances, clearly demonstrating the capability of smartphones to accurately assist in obtaining human-induced load measurements.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.8
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• pp.1165-1171
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• 2022

Human behavior recognition using an accelerometer has been applied to various fields. As smartphones have become used commonly, a method for human behavior recognition using the acceleration sensor built into the smartphone is being studied. In the case of the elderly, falling often leads to serious injuries, and falls are one of the major causes of accidents at construction fields. In this article, we proposed recognition method for human falling direction using built-in acceleration sensor and orientation sensor in the smartphone. In the past, it was a common method to use the magnitude of the acceleration vector to recognize human behavior. These days, deep learning has been actively studied and applied to various areas. In this article, we propose a method for recognizing the direction of human falling by applying the deep learning multilayer technique, which has been widely used recently.