• Education of Primary School Mathematics
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• v.27 no.4
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• pp.421-434
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• 2024

This study investigated counting of multicultural students in the first grade of elementary school and derived implications for counting instruction based on the results. To this end, one-on-one interviews were conducted with three multicultural students in the first grade of elementary school as the experimental group and three non-multicultural students as the control group. The students' counting was compared and analyzed from the perspectives of accuracy, efficiency, and fluency, and the results of the study are as follows. In counting forward, there were differences in counting ability according to the linguistic characteristics of multicultural students. In counting backward, there were differences in counting ability according to the level of mathematics achievement. There were differences in counting by 10 up to 100 in native language numerals depending on the level of mathematics academic achievement. The factors that affect counting all objects in various ways may vary depending on the number of objects. Multicultural students used simpler counting strategies when counting a limited number of objects rather than counting all objects in various ways. The results of this study will provide basic data on counting of elementary school students in the lower grades, and will contribute to the establishment of effective teaching and learning methods for the counting.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.3
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• pp.1320-1329
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• 2013

According to the comparing the quality and fatigue of Hands-only CPR with counting by middle-aged women who is most likely to witness the cardiac arrest. This paper wants to provide the basic data to establish a CPR education program for the role of the first responders. After conducted three hours of basic life support training, it divided into two 45-persons groups by assignment of probability. 2-minutes research conducted with dummy by dividing into Group-A that counting the number loudly during the Hands-Only CPR, And Group-B that does not counting the number during the Hands-Only CPR. Between the two groups, the quality of Hands-Only CPR does not showed its difference clearly and the downtime of Hands-Only CPR was reduced, Depending on the over time, the frequency that reduces the depth of Hands-Only CPR was also significantly lower. And after the Hands-Only CPR, the fatigability who felt themselves was also significantly lower.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.5
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• pp.2363-2374
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• 2016

Communication occurs through verbal elements, which usually involve language, as well as non-verbal elements such as facial expressions, eye contact, and gestures. In particular, among these non-verbal elements, gestures are symbolic representations of physical, vocal, and emotional behaviors. This means that gestures can be signals toward a target or expressions of internal psychological processes, rather than simply movements of the body or hands. Moreover, gestures with such properties have been the focus of much research for a new interface in the NUI/NUX field. In this paper, we propose a method for recognizing the number of fingers and detecting the hand region based on the depth information and geometric features of the hand for application to an NUI/NUX. The hand region is detected by using depth information provided by the Kinect system, and the number of fingers is identified by comparing the distance between the contour and the center of the hand region. The contour is detected using the Suzuki85 algorithm, and the number of fingers is calculated by detecting the finger tips in a location at the maximum distance to compare the distances between three consecutive dots in the contour and the center point of the hand. The average recognition rate for the number of fingers is 98.6%, and the execution time is 0.065 ms for the algorithm used in the proposed method. Although this method is fast and its complexity is low, it shows a higher recognition rate and faster recognition speed than other methods. As an application example of the proposed method, this paper explains a Secret Door that recognizes a password by recognizing the number of fingers held up by a user.

• Journal of Internet Computing and Services
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• v.17 no.2
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• pp.29-37
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• 2016

Humans develop and maintain relationship through communication. Communication is largely divided into verbal communication and non-verbal communication. Verbal communication involves the use of a language or characters, while non-verbal communication utilizes body language. We use gestures with language together in conversations of everyday life. Gestures belong to non-verbal communication, and can be offered using a variety of shapes and movements to deliver an opinion. For this reason, gestures are spotlighted as a means of implementing an NUI/NUX in the fields of HCI and HRI. In this paper, using Kinect and the geometric features of the hand, we propose a method for recognizing the number of fingers and detecting the hand area. A Kinect depth image can be used to detect the hand region, with the finger number identified by comparing the distance of outline and the central point of a hand. Average recognition rate for recognizing the number of fingers is 98.5%, from the proposed method, The proposed method would help enhancing the functionality of the human computer interaction by increasing the expression range of gestures.

• Physical Therapy Rehabilitation Science
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• v.6 no.3
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• pp.134-139
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• 2017

Objective: Dual-task interference is defined as decrements in performance observed when people attempt to perform two tasks concurrently, such as a verbal task and walking. The purpose of this study was to investigate the changes of gait ability according to the dual task interference in chronic stroke survivors. Design: Cross-sectional study. Methods: Ten chronic stroke survivors (9 male, 1 female; mean age, 55.30 years; mini mental state examination, 19.60; onset duration, 56.90 months) recruited from the local community participated in this study. Gait ability (velocity, paretic side step, and stride time and length) under the single- and dual-task conditions at a self-selected comfortable walking speed was measured using the motion analysis system. In the dual task conditions, subjects performed three types of cognitive tasks (controlled oral word association test, auditory clock test, and counting backwards) while walking on the track. Results: For velocity, step and stride length, there was a significant decrease in the dual-task walking condition compared to the single walking condition (p<0.05). In particular, higher reduction of walking ability was observed when applying the counting backward task. Conclusions: Our results revealed that the addition of cognitive tasks while walking may lead to decrements of gait ability in stroke survivors. In particular, the difficulty level was the highest for the calculating task. We believe that these results provide basic information for improvements in gait ability and may be useful in gait training to prevent falls after a stroke incident.