• Journal of Music and Human Behavior
• /
• v.20 no.1
• /
• pp.75-97
• /
• 2023

This study aimed to investigate the effect of cognitive-motor interaction-based instrument playing on the early social skills of children with autism spectrum disorder (ASD). Nine children with ASD, averaging 5.6 years of age, participated in twelve individual sessions lasting 30 minutes each. The intervention comprised five stages: self-regulation, motivation to engage in social interaction, acceptance of a partner in co-playing activities, interpersonal coordination with a partner, and engagement in joint music playing. To evaluate changes in early social skills, joint attention and social interaction behaviors were observed, and the Social Responsiveness Scale (SRS-2) was administered pre- and post-intervention. Social synchronization was measured through a dyadic drum task, measuring synchronization accuracy, duration, and timing. Following the intervention, all nine children demonstrated increased early social behaviors, although there were no significant differences in SRS scores. Moreover, synchronized movement improved significantly in accuracy and maintained duration but not in reaction time. This study highlights the significance of recognizing the cognitive-motor interplay as crucial element in facilitating early social skills development in children with ASD.

• Journal of the Korea Computer Graphics Society
• /
• v.30 no.3
• /
• pp.171-178
• /
• 2024

Exercises using a Balance Board (BB) are effective in developing balance, strengthening core muscles, and improving physical fitness and concentration. In particular, the Smart Balance Board (SBB), which integrates with various digital content, provides appropriate feedback compared to traditional balance boards, maximizing the effectiveness of the exercise. However, most systems only offer visual and auditory feedback, failing to evaluate the impact on user engagement, interest, and the accuracy of exercise postures. This study proposes an Immersive Smart Balance Board (I-SBB) that utilizes multiple sensors to enable training with various feedback mechanisms and precise postures. The proposed system, based on Arduino, consists of a gyro sensor for measuring the board's posture, a communication module for wired/wireless communication, an infrared sensor to guide the user's foot placement, and a vibration motor for tactile feedback. The board's posture measurements are smoothly corrected using a Kalman Filter, and the multi-sensor data is processed in real-time using FreeRTOS. The proposed I-SBB is shown to be effective in enhancing user concentration and engagement, as well as generating interest, by integrating with diverse content.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.4
• /
• pp.26-32
• /
• 2020

Recently, as various wearable devices and IoT technologies have emerged and been applied to real applications, various sensors have been developed to satisfy their purposes and applied. In even In medical applications, IoT technologies have been applied gradually, and particularly, magnets and magnetic sensors have already been playing an important role in the medical industry. In wrist rehabilitation, this kind of sensor technology has enabled us to easily and conveniently measure wrist movement and gestures because there are no tangled lines required between the magnet and sensor. However, one of the drawbacks is that nonlinear output is generated because of the characteristics of a magnetic field. Also, the movement of the wrist joint involves small bones, and so it is not easy to simply model the movement. In order to resolve these issues and accurately measure sensor data, a calibration procedure is inevitable in the measurement. Thus, this paper proposes a practical model and simple calibration methods for measuring the distance between a magnet and a magnetic sensor.

• Journal of Digital Convergence
• /
• v.14 no.6
• /
• pp.431-438
• /
• 2016

This study will be targeting 21-24 years old college students majoring in physical education. This study covers the effect of kinesiology taping and icing treatment on the recovery rate of blood lactate concentration, and cardiovascular function so that it can provide the basic data for improving physical performance. As a result of this study, Kinesio taping and icing aid the recovery rate of the maximum load of lactic acid recovery rate and 30 minutes after exercise heart rate after exercise, but increased, after 15 minutes, immediately after exercise heart rate, exercise lactate and heart rate, and 30 minutes after exercise lactate showed no difference. In conclusion, Kinesio taping and icing treatment, reduce pain and fatigue but it is not satisfactory. Further study, applying a more accurate and technical form of exercise programs needs to continuously research the effects of Kinesio taping and icing treatment

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2004.05a
• /
• pp.297-297
• /
• 2004

선진국 및 국내에서도 붐이 일고 있는 스포츠 중에서 골프는 빼놓을 수 없는 위치의 스포츠이다. 그러나 골프는 필드에서 클럽만을 가지고 즉시 경기를 할 수 있는 운동이 아니다. 필드에 나가기 전 많은 연습과정을 통해 충분한 자세의 습득과 정확한 샷을 할 수 있는 운동의 선행 과정을 먼저 거쳐야 한다. 그러나 골프의 자세를 교습하기 위해서는 지도자의 직접적인 교정이 필수적 이였으나 이는 교습비의 부담 증가로 이어져 골프를 대중화하기 어렵게 하는 한 가지 요인 이였으며, 또한 타격 연습을 위한 기존의 골프 연습기는 단순히 공을 타격위치에 가져다 놓기만 할 뿐이기 때문에 연습자 자신의 자세를 확인할 수 없어 잘못된 자세를 익히게 되는 경우가 발생한다.(중략)

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
• /
• 2010.10a
• /
• pp.598-598
• /
• 2010

와이퍼 작동 중에 발생하는 진동소음 중 1000Hz 이상의 스퀼 소음은 발생 메커니즘이 정확하게 알려지지 않았으며 발생하는 조건도 불규칙하다. 이 스퀼 소음의 발생 빈도 및 주파수를 변경하는 설계를 위하여 스퀼 진동 소음의 발생 메커니즘의 원인분석이 우선적으로 이루어져야 한다. 이 논문에서는 자동차 와이퍼 시스템에서 워셔액을 분사하였을 때 발생하는 스퀼 소음을 측정하고 인자 별로 분석하였다. 스퀼 소음이 발생하는 인자들을 마찰계수와 연관이 있는 인자, 기하학적인 인자, 와이퍼의 운동과 관련된 인자들로 나누어 분석하였다. 실제 와이퍼 시스템을 구현하기 위하여 모터와 원판 지지대 등을 이용하였고, 마이크로폰, 레이저 바이브로미터, 노이즈북, 아르테미스를 이용하여 측정 및 분석하였다.

• The Journal of the Korea Contents Association
• /
• v.13 no.5
• /
• pp.451-458
• /
• 2013

In this paper, we have developed an intellectual sizing and fitting system for bike user. In order to prevent the disease, we should adjust the bike's frame and select several components in the body size. Then it propose an extractions algorithm of avatar imagination with the cromakey method and realize the sizing and fitting.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2012.07a
• /
• pp.411-412
• /
• 2012

본 논문에서는 인간의 가장 기본적이며 기초적인 운동인 걸음걸이로부터 검출할 수 있는 걸음 수 및 보행분석을 위해 전도성 섬유를 이용한 전기용량성압력 센서를 깔창형태로 개발하였다. 개발된 깔창 형태의 센서는 보행시의 압력을 측정하여 보행신호를 검출하고, 검출된 신호를 이용하여 걸음 수 및 보행 분석을 실시하였다. 개발된 센서의 성능 검증을 위하여 상용 만보계 및 관찰자의 수계로 도출된 보수를 비교하였으며, 자세에 따른 압력차이를 측정하였다. 기존의 상용 만보계는 저속(1 Km/h)으로 걸었을 때 보수가 잘 측정되지 않은 반면 개발된 센서는 저속에서도 관찰자 수계대비 정확한 보수를 도출 할 수 있었다. 또한 자세에 따라 압력 값을 토대로 사용자의 자세를 모니터링 할 수 있음을 보였다. 본 연구는 향후 스마트폰과 무선 연동하는 스마트 보행관리 시스템을 개발하기 위한 기초연구이다.

• Journal of Digital Convergence
• /
• v.18 no.12
• /
• pp.97-103
• /
• 2020

The proposed system is composed of two parts, an AI physical fitness measurement part and an AI physical fitness management part. In the AI fitness measurement part, a guide to physical fitness measurement and accurate calculation of the measured value are performed through deep learning-based pose recognition. Based on these measurements, the AI fitness management part designs personalized exercise programs and provides them to dedicated smart applications. To guide the measurement posture, the posture of the subject to be measured is photographed through a webcam and the skeleton line is extracted. Next, the skeletal line of the learned preparation posture is compared with the extracted skeletal line to determine whether or not it is normal, and voice guidance is provided to maintain the normal posture.

• Korean Journal of Applied Biomechanics
• /
• v.18 no.2
• /
• pp.59-64
• /
• 2008

D. W. KANG, J. S. CHOI, and G. R. TACK, A Study on Real-Time Sports Activity Classification & Monitoring Using a Tri-axial Accelerometer. Korean Jouranl of Sport Biomechanics, Vol. 18, No. 2, pp. 59-64, 2008. This study was conducted to study the real-time sports activity classification and monitoring using single waist mounted tri-axial accelerometer. This monitoring system detects events of sports activities such as walking, running, cycling, transitions between movements, resting and emergency event of falls. Accelerometer module was developed small and easily attachable on waist using wireless communication system which does not constrain sports activities. The sensor signal was transferred to PC and each movement pattern was classified using the developed algorithm in real-time environment. To evaluate proposed algorithm, experiment was performed with several sports activities such as walking, running, cycling movement for 100sec each and falls, transition movements(sit to stand, lie to stand, stand to sit, lie to sit, stand to lie and sit to lie) for 20 times each with 5 healthy subjects. The results showed that successful detection rate of the system for all activities was 95.4%. In this study, through sports activity monitoring. it was possible to classify accurate sports activities and to notify emergency event such as falls. For further study, the accurate energy consumption algorithm for each sports activity is under development.