• The Journal of Korean Physical Therapy
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• v.30 no.4
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• pp.123-128
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• 2018

Purpose: This study examined the effects of neuromuscular electrical stimulation (NMES) and horseback riding using a robotic device on the trunk muscle activity and gross motor function in children with spastic diplegia. Methods: Children with spastic diplegia were divided into two groups: an experimental group (NMES and horseback riding using a robotic device [n=10]) and a control group (placebo NMES and horseback riding using a robotic device [n=10]). Each group received general physical therapy and occupational therapy. Each intervention involved the administration of NMES for 15 minutes and horseback riding using robotic device therapy for 15 minutes three times a week for 4 weeks. The evaluation included both the rectus abdominis muscles (RA), external oblique muscles (EO), thoracic paraspinal muscles (TP), and lumbar paraspinal muscles (LP) activity and GMFM. Results: The RA, EO, TP, and LP muscle activity, GMFM C, D, and E were increased significantly in the experimental and control groups. A significant increase in both the TP muscle activity and GMFM D was observed in the experimental group compared to the control group. Conclusion: This study showed that horseback riding using a robotic device is an effective intervention for trunk muscle activity and GMFM in children with spastic diplegia. However, if NMES is added to the back muscles, it is possible to further increase the thoracic paraspinal muscle activity and standing ability.

• Journal of the Korea Society of Computer and Information
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• v.27 no.2
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• pp.25-32
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• 2022

In this paper, we propose a pet monitoring system based on deep learning using an activity recognition device. The system consists of a pet's activity recognition device, a pet owner's smart device, and a server. Accelerometer and gyroscope data were collected from an Arduino-based activity recognition device, and the number of steps was calculated. The collected data is pre-processed and the amount of activity is measured by recognizing the activity in five types (sitting, standing, lying, walking, running) through a deep learning model that hybridizes CNN and LSTM. Finally, monitoring of changes in the activity, such as daily and weekly briefing charts, is provided on the pet owner's smart device. As a result of the performance evaluation, it was confirmed that specific activity recognition and activity measurement of pets were possible. Abnormal behavior detection of pets and expansion of health care services can be expected through data accumulation in the future.

• Archives of design research
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• v.19 no.3 s.65
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• pp.5-18
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• 2006

Digital information society shows a variety of contents of cross-categorial digital media in their inner or outer forms and concepts of the artistic aspects. In order to cope with such a complicated, unexpected trend in digital media and its industry, a new approach in the design process needs to be developed and adjusted with the new equipment of the creativity-thinking process of 'the Multi-Sensory Device (MSD),' 'the Multi-Dimensional Device (MDD),' and 'the Storytelling Device (SD)' in the Prism Effect-based Creativity-Thinking Process (PECTP). The PECTP is in principle designed to practically work with the four distinct techniques: 1) Physical Activity, 2) Linguistic Activity, 3) Visual Activity, and 4) Complex Activity. Consequently, this thesis notes that the nature of the cross-categorial design contents is necessarily non-directional since the creativity power inside the Prism Effect results in openness and diversity.

• Educational Technology International
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• v.18 no.1
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• pp.27-47
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• 2017

Smart devices have a variety of affordances to foster meaningful learning in elementary school. For the design of smart learning environments, more research is needed to understand students' smart device usage and their perception of learning with smart devices. In order to capture smart device usage profiles among elementary school students in South Korea, this study carried out Latent Profile Analysis with three constructs: information search, communication, and study. Participants (n=253), who ranged from the fourth to the sixth grade students, were classified into three profiles of smart device usage: low-activity, communication, and high-activity groups. The smart device usage profiles varied depending on smartphone usage experience, and the profiles were significantly related with smart device addiction, not with smart device usage ability. Perceptions of smart education were also significantly associated with the profiles. The high-activity group showed more positive attitudes toward smart education than the others, but no significant difference was found in regard to negative attitudes. Based on the findings, this study discussed implications for the use of smart devices in elementary school.

• Physical Therapy Korea
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• v.28 no.4
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• pp.251-255
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• 2021

Background: Physical activity and quality of life (QOL) influence the health status of older adults. Recently, the use of wearable devices to monitor physical activity has increased. Objects: This study examined the relationship between the amount of physical activity, measured using a wearable device, and QOL among older adults. Methods: In total, 71 older adults (aged ≥ 65 years) were enrolled. The amount of physical activity was measured using a wearable device with a wrist strap, and daily physical activity was classified according to intensity (sedentary, light, moderate, or very active). Self-reported QOL was evaluated using the Short Form 36 (SF-36) questionnaire. Pearson and Spearman correlation analyses were conducted to analyze parametric and non-parametric variables, respectively. The relationship between amount of daily physical activity and SF-36 scores was assessed. Results: The correlation analyses revealed positive correlations between the amount of moderate-intensity and very active physical activity (minutes/day) and SF-36 scores (p < 0.05). Conclusion: Physical activity of at least moderate intensity is associated with better QOL in older adults. Further studies are required to verify the effects of increased physical activity on QOL in older adults.

• Journal of Digital Convergence
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• v.16 no.2
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• pp.415-420
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• 2018

The purpose of this study was to examine the effects of physical activity using visual stimulation smart devices on the athletic performance and attention - The conclusion is as follows. The physical activity using visual stimulation smart device was applied to the infant. The pre - and post - experiment results showed that the infants of the experimental group were higher than those of the control group. Specifically, the ability of the infant to participate in physical activity using the visual stimulation smart device was improved by sit-up bending and centering ability. Also, physical activity using visual stimulation smart device helped to improve attention of infants. In other words, it was confirmed that information and communication technology (ICT) and physical activity affect both physical and cognitive development of infants. Therefore, in order to improve the athletic ability and concentration of children more effectively, it is possible to maximize the educational effect by teaching the contents using various contents that can motivate the infant rather than the same teaching method.

• Journal of the Korean Society of Physical Medicine
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• v.8 no.4
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• pp.637-645
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• 2013

PURPOSE: The purpose of this study was to examine the effect of using a suspension device for arm reaching activity on trunk stability and gross motor function of children with spastic diplegia cerebral palsy. METHODS: The subject in this study consisted of 11, GMFCS(Gross Motor Function Classification System) III~IV children with spastic diplegia cerebral palsy, all of whom agreed to participate in the study. All subjects were divided into two groups: the experimental group using a suspension device, and the control group using no suspension device. For each group, a thirty-minute intervention was done twice per week during 8 weeks. Before and after intervention, each test was measured using TIS(Trunk Impairment Scale), GMFM (Gross Motor Function Measure) and PRT(Pediatric Reaching Test) to change trunk stability, gross motor function and arm reaching activity. The data were analyzed with the Wilcoxon signed rank test. RESULT: All two groups had a meaningful increase in GMFM-Sit data measured before and after intervention. The experimental group had a significant increase from an average of 78.83 to an average of 84.83 in GMFM-Crawling. For both groups, there was a substantial increase in the change in sitting position and arm reaching. CONCLUSION: According to the results of this study, the arm reaching activity using suspension device had an effect on trunk stability and gross motor function and it changed arm reaching activity.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1997.04a
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• pp.739-742
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• 1997

A remote drum grappling device coupled to the anti-swing crane has been developed by KAERI to cope with problems involved in manually treating low level waste drums. In order for this grappling device to be operated effectively, multi-sensors including CCD camera were employed. As an activity representation scheme of the device, Extended State Machine (ESM) was used to descibe its operation sequences. The performance testing of the device was conducted successfully, and consequently its application could be extendable to industrial operation environment.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.46 no.6
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• pp.36-42
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• 2009

In the mobile device environment, the context-aware computing has been emerging as a core technology of ubiquitous computing. Compared with a desktop computer, a user interface and resource of mobile device is very limited. Traditional desktop-based user interface has been developed on the basis that a user's activity is static state. In contrast, mobile devices are not able to utilize representative desktop-based interaction mechanisms such as a keyboard and mouse, not only because the activity of a user is dynamic state, but mobile devices have limited resources and small LCD display. In this paper, we introduce an intelligent control system for the mobile device that can utility effectively the limited resource and complement the poor user interface by using an accelerometer being able to sense the physical activity and posture. The proposed system can estimate the user activity, static and dynamic states, and posture watching the PDA at the same time, and the proposed intelligent control system as its application, the backlight ON/OFF on the PDA, is run by the result of the user's behavior.

• International Journal of Computer Science & Network Security
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• v.21 no.2
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• pp.221-228
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• 2021

Recent improvements on the quality, fidelity and availability of biometric data have led to effective human physical activity detection (HPAD) in real time which adds significant value to applications such as human behavior identification, healthcare monitoring, and user authentication. Current approaches usually use machine-learning techniques for human physical activity recognition based on the data collected from wearable accelerometer sensor from a single wearable smart device on the user. However, collecting data from a single wearable smart device may not provide the complete user activity data as it is usually attached to only single part of the user's body. In addition, in case of the absence of the single sensor, then no data can be collected. Hence, in this paper, a continuous HPAD will be presented to effectively perform user activity detection with mobile service infrastructure using multiple wearable smart devices, namely smartphone and smartwatch placed in various locations on user's body for more accurate HPAD. A case study on a comprehensive dataset of classified human physical activities with our HAPD approach shows substantial improvement in HPAD accuracy.