• Title/Summary/Keyword: dynamic training

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Effects of Virtual Reality Program on Standing Balance in Chronic Stroke Patients (가상현실 프로그램이 만성 뇌졸중 환자의 선자세 균형에 미치는 영향)

  • Kim, Joong-Hwi;Kim, Chung-Sun
    • The Journal of Korean Physical Therapy
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    • v.17 no.3
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    • pp.351-367
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    • 2005
  • The purpose of this study was to identity effects of virtual reality(VR) program related to standing postural control on balance, gait and brain activation patterns in chronic hemiplegic stroke patients. Subjects were assigned randomly to either VR group (n=12) or the control group (n=12) when the study began. Both groups received conventional physical therapy for 2 to 3 times per week. In addition to conventional physical therapies, VR group trained 3 types of virtual reality programs using IREX for standing postural control during 4 weeks (4 times/week, 30 minutes/time). Subjects were assessed for static and dynamic balance parameters using BPM, functional balance using Berg Balance Scale related to movement of paretic lower limb before and after 4 weeks of virtual reality training. The results of this study were as follows. 1. Following VR training, VR group demonstrated the marked improvement on dynamic mean balance, anteroposterior limits of stability (AP angle) and mediolateral limits of stability (ML angle). 2. Following VR training, both groups scored higher on Berg Balance Scale. However, a comparison of mean change revealed differences between groups. In conclusion, these data suggest that the postural control training using VR programs improve dynamic and functional balance performance in chronic hemiplegic stroke patients.

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Dynamic Training Algorithm for Hand Gesture Recognition System (손동작 인식 시스템을 위한 동적 학습 알고리즘)

  • Kim, Moon-Hwan;hwang, suen ki;Bae, Cheol-Soo
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.2 no.2
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    • pp.51-56
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    • 2009
  • We developed an augmented new reality tool for vision-based hand gesture recognition in a camera-projector system. Our recognition method uses modified Fourier descriptors for the classification of static hand gestures. Hand segmentation is based on a background subtraction method, which is improved to handle background changes. Most of the recognition methods are trained and tested by the same service-person, and training phase occurs only preceding the interaction. However, there are numerous situations when several untrained users would like to use gestures for the interaction. In our new practical approach the correction of faulty detected gestures is done during the recognition itself. Our main result is the quick on-line adaptation to the gestures of a new user to achieve user-independent gesture recognition.

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Effect of different underwater recovery methods on heart rate after circuit weight training

  • Park, Jun Sik;Kim, Ki Hong
    • International Journal of Internet, Broadcasting and Communication
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    • v.14 no.4
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    • pp.222-227
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    • 2022
  • The purpose of this study was to investigate changes in heart rate according to recovery methods after circuit weight training exercise. Fourteen men in their twenties were selected as subjects, and three sets of circuit weight training were performed by cycling six sports, and two recovery conditions (dynamic and static) were performed immediately after exercise. Changes in heart rate did not have an interactive effect according to recovery method and time, and both conditions showed significant changes between sets 1 and 2, and between sets 3 and after recovery. In this study, the high heart rate of 2 sets and 3 sets was seen as a result of exercise stimulation, and the low heart rate of 1 set was thought to be due to the decrease in vagus nerve activity rather than the role of catecholamines. On the other hand, the heart rate after 20 minutes of exercise did not show any difference according to the recovery method, which could mean that the recovery process due to the aquatic environment can act more strongly than the process of dynamic recovery and static recovery. It is thought that the characteristics affected the sensory and circulation of the body, and thus the change of the afferent signal and the level of metabolic products generated in the active muscle.

Effect of an 8-week Closed Kinetic Chain Styled Pilates Exercise on Lower Limb Alignment (8주간 닫힌 사슬형 필라테스 운동이 하지 정렬에 미치는 영향)

  • Ga Ram Jeon;Sukhoon Yoon
    • Korean Journal of Applied Biomechanics
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    • v.33 no.4
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    • pp.128-136
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    • 2023
  • Objective: The aim of this study was to investigate the effect of an 8-week closed kinetic chain typed Reformer and Chair Pilates exercise on static and dynamic lower limb alignment for healthy female adults. Method: Ten healthy young female adults without musculoskeletal injury history in last 6 months (Age: 29.3 ± 3.5 yrs., Height: 165 ± 3.4 cm, Body mass: 58.2 ± 5.4 kg) participated in this study. All participants asked to join the 8-week closed kinetic chain typed Reformer and Chair Pilates exercise, and the program was conducted for 60 minutes twice a week. Participants were asked to be measure a static Q-angle and performed free squat one week before and after the program. A 3-D motion analysis with 8 infrared cameras and 5 channels of EMG was executed in this study. The effectiveness of the training was evaluated by paired t-test, and the significance level was set at .05. Results: A significantly decreased in internal rotation angles was found at hip joint during free squat after the training. Also, significantly decreased in lateral rotation angles were found at knee and ankle joint during free squat after training. Finally, significantly decreased in muscle activations were found at adductor longus and peroneus longus during free squat after training. Conclusion: From results of our study, it is concluded that an 8-week closed kinetic chain typed Pilates exercise positively effect on lower limb alignment during dynamic movement.

The Effects of Dynamic Functional Electrical Stimulation With Treadmill Gait Training on Functional Ability, Balance Confidence and Gait in Chronic Stroke Patients

  • Cho, Young-Ki;Ahn, Jun-Su;Park, Yong-Wan;Do, Jung-Wha;Lee, Nam-Hyun;Kwon, Oh-Yun
    • Physical Therapy Korea
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    • v.21 no.4
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    • pp.23-33
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    • 2014
  • The aim of this study was to evaluate the effects of walking on a treadmill while using dynamic functional electrical stimulation (Dynamic FES) on functional ability and gait in chronic stroke patients. This was a prospective, randomized controlled study. Twelve patients with chronic stroke (>24 months) who were under grade 3 in dorsiflexor strength with manual muscle test were included and randomized into intervention (Dynamic FES) ($n_1$=7) and control (FES) ($n_2$=5). Both the Dynamic FES group and FES group were given a neuromuscular development treatment. The Dynamic FES group has implemented a total of 60 minutes of exercise treatment and gait training with Dynamic FES application. The FES group, with the addition of applying FES while sitting, has also implemented a total of 90 minutes of gait training on treadmill after the exercise treatment. Both two groups accomplished the program, twice a week, for a total of 24 times in a 12-week period. Exercise treatment, gait training on treadmill, and both Dynamic FES and FES were implemented for 30 minutes each. Korean version activities-specific balance confidence scale (K-ABC) was measured to determine self-efficacy in balance function. Timed up and go (TUG) test was performed to evaluate the physical performance. K-ABC, TUG, Berg balance scale (BBS), modified physical performance test (mPPT) and G-walk were evaluated at baseline and at 12 weeks. After 12 weeks, statistically significant differences (p<.05) were apparent in the Dynamic FES group in the changes in K-ABC and BBS. mPPT, TUG, gait speed, stride length and stance phase duration (%) were compared with the FES group. K-ABC had higher correlation to BBS, along with mPPT to TUG. Our results suggest that walking with Dynamic FES in chronic stroke patients may be beneficial for improving their balance confidence, functional ability and gait.

Effect on the Balance Ability after Four Week Training Using the System for 3-D Dynamic Exercise Equipment (3차원 동적 운동기기를 이용한 4주간의 운동 시 균형 능력에 미치는 효과)

  • Shin, S.H.;Yu, M.;Jeong, G.Y.;Yu, C.H.;Kim, K.;Jeong, H.C.;Kwon, T.K.
    • Journal of rehabilitation welfare engineering & assistive technology
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    • v.6 no.2
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    • pp.1-8
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    • 2012
  • In previous studies, the dynamic exercise equipment just focused on the trunk stabilization exercise. However, our study is targeted at evaluation for the impact on the postural balance of those researches. Twelve male and twelve female subjects were volunteered for the balance training using this system. They had no medical history of backpain for the past six months. Trunk Stability and postural balance training was performed for 15 minutes a day, three times a week duing four weeks. To evaluate characterization of the postural balance using Balance System SD, Evaluation consist of the postural stability test and the postural limit test. As a result, this training with 3D dynamic exercise equipment help subjects improve the postural balance. These results are expected for using basic materials to the elderly with a high risk of falling and trained athletes needed to be a postural control.

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Modeling of Nuclear Power Plant Steam Generator using Neural Networks (신경회로망을 이용한 원자력발전소 증기발생기의 모델링)

  • 이재기;최진영
    • Journal of Institute of Control, Robotics and Systems
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    • v.4 no.4
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    • pp.551-560
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    • 1998
  • This paper presents a neural network model representing complex hydro-thermo-dynamic characteristics of a steam generator in nuclear power plants. The key modeling processes include training data gathering process, analysis of system dynamics and determining of the neural network structure, training process, and the final process for validation of the trained model. In this paper, we suggest a training data gathering method from an unstable steam generator so that the data sufficiently represent the dynamic characteristics of the plant over a wide operating range. In addition, we define the inputs and outputs of neural network model by analyzing the system dimension, relative degree, and inputs/outputs of the plant. Several types of neural networks are applied to the modeling and training process. The trained networks are verified by using a class of test data, and their performances are discussed.

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Event Detection on Motion Activities Using a Dynamic Grid

  • Preechasuk, Jitdumrong;Piamsa-nga, Punpiti
    • Journal of Information Processing Systems
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    • v.11 no.4
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    • pp.538-555
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    • 2015
  • Event detection based on using features from a static grid can give poor results from the viewpoint of two main aspects: the position of the camera and the position of the event that is occurring in the scene. The former causes problems when training and test events are at different distances from the camera to the actual position of the event. The latter can be a source of problems when training events take place in any position in the scene, and the test events take place in a position different from the training events. Both issues degrade the accuracy of the static grid method. Therefore, this work proposes a method called a dynamic grid for event detection, which can tackle both aspects of the problem. In our experiment, we used the dynamic grid method to detect four types of event patterns: implosion, explosion, two-way, and one-way using a Multimedia Analysis and Discovery (MAD) pedestrian dataset. The experimental results show that the proposed method can detect the four types of event patterns with high accuracy. Additionally, the performance of the proposed method is better than the static grid method and the proposed method achieves higher accuracy than the previous method regarding the aforementioned aspects.

Effects of Gait Training Using a Shoulder-Back Orthosis on Balance and Gait in Patients with Stroke

  • Han-Byul Youn;Jong-Kyung Lee;Yu-Min Ko;Ji-Won Park
    • The Journal of Korean Physical Therapy
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    • v.35 no.6
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    • pp.200-205
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    • 2023
  • Purpose: The purpose of this study is to find out how gait training with shoulder-back assistive device affects dynamic and static balance, gait of patients with stroke and to help improve body alignment, balance, and gait ability in stroke patients. Methods: Measurements were taken of the 20 subjects before intervention without shoulder-back assistive device, after intervention with device, and follow up after an hour compared. Berg balance scale used to evaluate dynamic balance; wii balance board was used to measure static balance; and gait ability were measured by timed up and go test and 10-meter walk test. To analyze the results, a one-way repeated measures analysis of variance was implemented to compare the measurements. Results: The results showed that, after wearing the shoulder-back assistive device, the subjects' dynamic balance statistically significantly improved; no statistically significant difference was observed in static balance, although their balance ability was enhanced; and their increase in gait ability was statistically significant. Conclusion: This study proved that gait training combined with a shoulder-back assistive device positively impacted dynamic and static balance, gait of patients with stroke.

Virtual-reality-based Operation Training System for Steel Making Process (가상 현실 기반 철강 공정 조업 교육 시스템)

  • Choi, Ja-Young;Lee, Jin-Hwi;Kim, Yong-Soo;Kim, Seok
    • Journal of Institute of Control, Robotics and Systems
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    • v.21 no.8
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    • pp.709-712
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    • 2015
  • This paper will introduce the development case study about virtual-reality-based operation training system for steel making process. Steel making process consist iron making process to create liquid steel, pig iron, by reduction process, steel making process to make molten steel by refining, continuous casting process to make slab, and rolling process to make final product like coil, plate. This steel making process deals with liquid and solid products, so facilities of steel making process are very various and complicated. In addition, according to various customer requirements, the recycle of facilities and recipes changing have been fast. So the training for skilled operators is very important point. In this paper, we develop steel making training system based virtual reality for training skilled operator. This system consists of virtual machine, virtual HMI, and virtual control panel. And for fitting the characteristics of each process and increasing the education effectiveness, we develop dynamic methods like the method of dynamic education system configuration, initial facilities setup operation education system, and etc.