• Title/Summary/Keyword: Visual feedback information

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Effects of Real-time Visual Feedback Gait Training on Gait Stability in Older Adults (실시간 시각적 피드백 보행 훈련이 노인들의 보행 안정성에 미치는 영향)

  • Byun, Kyungseok;Han, Sooji;Bhang, Dawon;Seo, Hyundam;Lee, Hyo Keun
    • Korean Journal of Applied Biomechanics
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    • v.30 no.3
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    • pp.247-253
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    • 2020
  • Objective: This study aimed to examine the effects of real-time visual feedback gait training on gait stability in older adults. Method: Twelve older adults participated in this study, being divided into 2 groups including a) visual feedback (VF) and b) non-visual feedback (NVF) groups. For 4 weeks, VF performed a treadmill walking training with real-time visual feedback about their postural information while NVF performed a normal treadmill walking training. For evaluations of gait stability, kinematic data of 15-minute treadmill walking were collected from depth-based motion capture system (30 Hz, exbody, Korea). Given that step lengths in both right and left sides were determined based on kinematic data, three variables including step difference, coefficient of variation, approximate entropy were calculated to evaluate gait symmetry, variability and complexity, respectively. Results: For research findings, VF exhibited significant improvements in gait stability after 4-week training in comparison to NVF, particularly in gait symmetry and complexity measures. However, greater improvement in gait variability was observed in NVF than VF. Conclusion: Given that visual feedback walking gives potential effectiveness on gait stability in older adults, gait training with visual feedback may be a robust therapeutic intervention in people with gait disturbances like instability or falls.

Comparing the Effects of Visual and Visual-auditory Feedback on Eco-driving and Driving Workload (시각적 피드백과 시각-청각적 피드백이 에코 드라이빙과 운전부하에 미치는 상대적 효과)

  • Lee, Kye hoon;Lim, Sung jun;Oah, She zeen
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.16 no.3
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    • pp.120-131
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    • 2017
  • Recent studies have suggested that providing in-vehicle feedback on various driving behaviors promote eco-friendly driving behaviors. However, there was relatively little interest in cognitive overload that can be caused by the provision of information. Thus, the goal of this study was to investigate the relative effects of two types of feedback(visual feedback vs. visual-auditory feedback) to increase eco-driving performance while minimizing driving workload. Also, in this study, the complexity of the driving task was distinguished (secondary vs. tertiary task) in order to reflect the actual driving situation. The study adopted a counterbalancing design in which the two feedback types were delivered in a different order under the two different task conditions. Results showed that providing the visual-auditory feedback was more effective than the visual only feedback in both promoting eco-friendly driving behaviors and minimizing driving workload under both task conditions.

The effect of balance training using visual information on the trunk control, balance and gait ability in patients with subacute stroke: Randomized controlled trial

  • Choi, Sung-Hoon;Lee, Ji-Young;Lee, Byoung-Hee
    • Journal of Korean Physical Therapy Science
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    • v.29 no.2
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    • pp.1-13
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    • 2022
  • Background: This research was conducted to understand balance training in trunk control, balance, and walking in stroke patients. Design: Randomized controlled trial. Methods: The subjects included 40 stroke patients, of whom 20 undertook balance training using visual information and the other 20 undertook balance training using balance boards. Using visual feedback, the balance training group used a training program within the static balanced evaluation tool, while the balance training group trained using a balance board. All subjects underwent 20 mins of neurodevelopmental treatment, and both target groups underwent 10 mins each of balance training by using either visual feedback or a balance board. The treatment period lasted a total of 4 weeks, twice a day. Trunk control before and after training was evaluated with the Trunk Impairment Scale. Balance capability was assessed by the Berg Balance Scale, Functional Reach Test, Timed Up and Go test, and Static balance measurement tool. Walking capacity was measured using gait measuring equipment, and cadence and velocity were measured. Results: Both groups showed a significant improvement in their interstitial control, balance, and gait ability after the experiments compared to before the experiments (p<0.05). The difference between the two groups was not significant. The visual feedback balance training group showed a more substantial improvement than the balance board training group. Conclusion: In this study, we found that the balance training combined with visual feedback contributes to improving trunk control, balance, and gait in patients with hemiplegia due to stroke. In addition to this, I believe that balanced training combined with visual feedback can be used as a training method when considering patients who lack interstitial control, balance, and gait ability.

Traded control of telerobot system with an autonomous visual sensor feedback (자율적인 시각 센서 피드백 기능을 갖는 원격 로보트 시스템교환 제어)

  • 김주곤;차동혁;김승호
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.940-943
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    • 1996
  • In teleoperating, as seeing the monitor screen obtained from a camera instituted in the working environment, human operator generally controls the slave arm. Because we can see only 2-D image in a monitor, human operator does not know the depth information and can not work with high accuracy. In this paper, we proposed a traded control method using an visual sensor for the purpose of solving this problem. We can control a teleoperation system with precision when we use the proposed algorithm. Not only a human operator command but also an autonomous visual sensor feedback command is given to a slave arm for the purpose of coincidence current image features and target image features. When the slave arm place in a distant place from the target position, human operator can know very well the difference between the desired image features and the current image features, but calculated visual sensor command have big errors. And when the slave arm is near the target position, the state of affairs is changed conversely. With this visual sensor feedback, human does not need coincide the detail difference between the desired image features and the current image features and proposed method can work with higher accuracy than other method without, sensor feedback. The effectiveness of the proposed control method is verified through series of experiments.

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Performance Evaluation and Development of Virtual Reality Bike Simulator (가상현실 바이크 시뮬레이터의 개발과 성능평가)

  • Kim, Jong-Yun;Song, Chul-Gyu;Kim, Nam-Gyun
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.51 no.3
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    • pp.112-121
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    • 2002
  • This paper describes a new bike system for the postural balance rehabilitation training. Virtual environment and three dimensional graphic model is designed with CAD tools such as 3D Studio Max and World Up. For the real time bike simulation, the optimized WorldToolKit graphic library is embedded with the dynamic geometry generation method, multi-thread method, and portal generation method. In this experiment, 20 normal adults were tested to investigate the influencing factors of balancing posture. We evaluated the system by measuring the parameters such as path deviation, driving velocity, COP(center for pressure), and average weight shift. Also, we investigated the usefulness of visual feedback information by weight shift. The results showed that continuous visual feedback by weight shift was more effective than no visual feedback in the postural balance control It is concluded this system might be applied to clinical use as a new postural balance training system.

Task performance under three visual feedback conditions in a teleoperation task (원격 조종 작업에서 3가지 시각 궤환 조건하의 작업 수행도)

  • Yoon, Wan-Jin;Kim, Jin;Cho, Am
    • Proceedings of the ESK Conference
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    • 1995.10a
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    • pp.3-12
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    • 1995
  • In this research, we investigated the effect of three visual feedback conditions (direct viewing, one-monitor viewing, and tow-monitors viewing) on the task performance of human operator in teloperation task. The three different level of task difficulties under each concitions were performed by thirty-six subjects. The result of the experiments was analysed by the task difficulties, and the measurements of performance are the task completion time and the frequency of task errors. In a teleoperator, the participation of a human operator is always required, and the man-machine interface and the operator's abilities is an important issue. Recently, the different types of sensory feedback conditions(force, vision, sound, tactile, etc) for teleoperation is a very active research area in ergonomics. Among them, visual feedback conditon is an important sense that can provide the information of task environment. Therefore, the sufficient understandings and investigation for human ability under various visual feedback conditions is required to establish the efficient man-machine interface of teleoperation. The result showed that the visual feecback conditions and the level of task difficulties have a significant effect on the task performance. For three level of task difficulties, the task completion time was the shortest under the condition of direct viewing. The number of task errors under the conditions of direct viewing and two-monitors viewing were reduced by more than half compare to that of one-monitor viewing.

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Using topic modeling-based network visualization and generative AI in online discussions, how learners' perception of usability affects their reflection on feedback

  • Mingyeong JANG;Hyeonwoo LEE
    • Educational Technology International
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    • v.25 no.1
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    • pp.1-25
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    • 2024
  • This study aims to analyze the impact of learners' usability perceptions of topic modeling-based visual feedback and generative AI interpretation on reflection levels in online discussions. To achieve this, we asked 17 students in the Department of Korean language education to conduct an online discussion. Text data generated from online discussions were analyzed using LDA topic modeling to extract five clusters of related words, or topics. These topics were then visualized in a network format, and interpretive feedback was constructed through generative AI. The feedback was presented on a website and rated highly for usability, with learners valuing its information usefulness. Furthermore, an analysis using the non-parametric Mann-Whitney U test based on levels of usability perception revealed that the group with higher perceived usability demonstrated higher levels of reflection. This suggests that well-designed and user-friendly visual feedback can significantly promote deeper reflection and engagement in online discussions. The integration of topic modeling and generative AI can enhance visual feedback in online discussions, reinforcing the efficacy of such feedback in learning. The research highlights the educational significance of these design strategies and clears a path for innovation.

Development of a Virtual Bicycle Simulator for the Rehabilitation Training of Postural Balance (자세균형 재활 훈련을 위한 가상 자전거 시뮬레이터 개발)

  • Jeong, Sung-Hwan;Piao, Yong-Jun;Kwon, Tae-Kyu;Kim, Nam-Gyun
    • Journal of the Korean Society for Precision Engineering
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    • v.24 no.10
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    • pp.137-145
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    • 2007
  • The purpose of this study is developing a virtual bicycle system for improving the ability of postural balance control for adults in various age groups. The system consists of an exercise bicycle that allows tilt in accordance with the postural balance of the subject in the system, a visual display that shows virtual road, and a visual feedback system. The rider of the system tries to maintain balance on the bicycle with a visual feedback of a virtual road while the pedaling speed, the heading direction, and various weight distribution information are updated to the subject as visual feedbacks in the display. A series of experiments were performed with various subjects to find the factors related to postural balance control in the system. The related parameters obtained were weight shift, magnitude of the deviation from the center of the virtual road, and variables related to the movement of the center of pressure. The results found that the ability to control postural balance in the system improved with the presentation of visual feedback information of the distribution of weight. It was also found that the general performance of the subject on balance in the system improved after ten days long training. The results show that the newly developed system can be used for the diagnosis of postural balance as well as for the stimulation of various senses such as vision and somatic sense in the field of rehabilitation training.

The Effect of Treadmill Gait Training Accompanied by Visual Feedback on the Gait and Balance of Chronic Stroke Patients (만성뇌졸중 환자에 시각적 되먹임 트레드밀 보행 훈련이 보행과 균형 능력에 미치는 효과)

  • Kim, Ji-Seon;Ahn, Jin-Hwan;Lee, Hyeon-Hee;Park, Hyo-Jeong;Ki, Kyong-Il
    • PNF and Movement
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    • v.15 no.2
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    • pp.133-140
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    • 2017
  • Purpose: This study compares the effects of treadmill gait training accompanied by visual feedback and general treadmill gait training on the gait and balance ability of patients with chronic stroke. Methods: A total of 11 patients with chronic stroke were randomly divided into either the treadmill gait training accompanied by visual feedback group (six patients) or the general treadmill gait training group (five patients). The gait and balance ability of the two groups were measured before and after the interventions using the functional reach test, the Timed Up and Go (TUG) test, Berg's balance test, and the Biodex balance test. The treadmill gait training accompanied by visual feedback group performed the exercise under the supervision of a therapist after first being provided with a hat and a goal that was devised for the purpose of providing visual feedback information. The interventions were applied to the respective groups for four weeks. For the statistical analysis, we conducted a Mann-Whitney test to compare the results between the two groups. Additionally, the Wilcoxon test was used to compare the results from before and after the intervention in each group. Results: The treadmill gait training accompanied by visual feedback group showed a significant difference in terms of the functional reach test after the intervention when compared to the general treadmill gait training group (p<0.05). Although there was no significant difference, the treadmill gait training accompanied by visual feedback group showed a larger improvement in the TUG test, Berg's balance test, and the Biodex balance test than the general treadmill gait training group (p>0.05). Conclusion: The results of this study suggest that treadmill gait training accompanied by visual feedback can be used as a beneficial intervention scheme for the recovery of the gait and balance ability of patients with chronic stroke.

Volume Haptic Rendering Algorithm for Realistic Modeling (실감형 모델링을 위한 볼륨 햅틱 렌더링 알고리즘)

  • Jung, Ji-Chan;Park, Joon-Young
    • Korean Journal of Computational Design and Engineering
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    • v.15 no.2
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    • pp.136-143
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    • 2010
  • Realistic Modeling is to maximize the reality of the environment in which perception is made by virtual environment or remote control using two or more senses of human. Especially, the field of haptic rendering, which provides reality through interaction of visual and tactual sense in realistic model, has brought attention. Haptic rendering calculates the force caused by model deformation during interaction with a virtual model and returns it to the user. Deformable model in the haptic rendering has more complexity than a rigid body because the deformation is calculated inside as well as the outside the model. For this model, Gibson suggested the 3D ChainMail algorithm using volumetric data. However, in case of the deformable model with non-homogeneous materials, there were some discordances between visual and tactual sense information when calculating the force-feedback in real time. Therefore, we propose an algorithm for the Volume Haptic Rendering of non-homogeneous deformable object that reflects the force-feedback consistently in real time, depending on visual information (the amount of deformation), without any post-processing.