KIEE - The Transactions of the Korean Institute of Electrical Engineers

1

K.-H. Kim and S.-H. Jang, “A Convergence study on effects of progressive proprioceptive motor program training on proprioception and balance ability in chronic stroke patients,” Journal of the Korea Convergence Society, vol. 9, no. 10, pp. 81–91, 2018.

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Hyun-Seung Song, Hye-Ryoung Park, Si-Jeol Bae, Ji-Seong Park, Hyeung-Tae Cho, Ha-Hee Jang and Su-Jin Kim, “The effects of proprioceptive exercises on balance ability after stroke,” Korean Proprioceptive Neuromuscular Facilitation Association, vol. 8, no. 2, pp. 1-8, 2010.

3

Y. Sharon, “Proprioception and the Sense of Ownership,” Korea journal of cognitive science, vol. 34, no. 3, pp. 243-257, 2023.

4

M.-C. Kim, N.-J. Kim, M.-S. Lee and S.-R. Moon, “Validity and Reliability of the Knee Joint Proprioceptive Sensory Measurements using a Smartphone,” Journal of Korean Society of Physical Medicine, vol. 10, no. 4, pp. 15–23, 2015.

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P. W. Duncan, G. P. Samsa, M. Weinberger, L. B. Goldstein, A. Bonito, D. M. Witter, C. Enarson and D. Matchar, “Health Status of Individuals with Mild Stroke,” Stroke, vol. 28, no. 4, pp. 740-745, 1997.

6

J. C. Rothwell, “Control of Human Voluntary Movement,” Springer Science & Business Media, pp. 1-520, 2012.

7

S. R. Lord, R. D. Clark and I. W. Webster, “Physiological factors associated with falls in an elderly population,” Journal of the American Geriatrics Society, vol. 39, no. 12, pp. 1194-1200, 1991.

8

J.-H. Kim, “Proprioception After Total Knee Replacement,” PNF and Movement, vol. 9, no. 1, pp. 39–45, 2011.

9

Byung Ill Lee, M.D., Jae Eung Yoo, M.D., “Proprioception of the Anterior Cruciate Ligament,” Journal of Korean arthroscopy society, vol. 1 no. 1, pp. 20-25, 1997.

10

Se-Hwan Kim, Kyung-Mook Seo, Don-Kyu Kim and Si-Hyun Kang, “Reliability of Passive Knee Joint Position Sense Test,” Annals of Rehabilitation Medicine, vol. 34, no. 5, pp. 560-564, 2010.

11

Eun-Soo Park, Sang-Gyo Seo, Ho-Seong Lee, “Correlation between Chronic Ankle Instability and Center of Pressure Using Pedobrarograph,” J Korean Foot Ankle Surg, vol. 24, no. 1, pp. 14-18, 2020.

12

Hyun-Seung Song, Hye-Ryoung Park, Si-Jeol Bae, Ji-Seong Park, Hyeung-Tae Cho, Ha-Hee Jang, Su-Jin Kim, “The effects of proprioceptive exercises on balance ability after stroke,” PNF and Movement, vol. 8, no. 2, pp. 1-8, 2010.

13

J. Lee and S.-H. Jang, “The Effect of Ability to Balance Sensory Integration Exercise for Adults,” The Journal of Korean Academy of Physical Therapy Science, vol. 24, no. 2, pp. 36–44, 2017.

14

Sang-Yub Kim, Chan-Kyu Kim, Sik-Dae Ko, “Pain of Industrial Workers with Chronic Lateral Epicondylitis and Changes in Joint Position Sense according to Proprioception Improvement Training,” The Journal of digital policy & management, vol. 11, no. 4, pp. 285–292, 2013.

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Jin-Mi Kim, Kyeong-M Kim, “The Review of Proprioceptive Activities in Sensory Integration Intervention,” Journal of Korea Proprioceptive Neuromuscular Facilitation Association, vol. 3, no. 1, pp. 55–66, 2005.

16

Hyun-Ji Woo, Mi Yu, Chul-Un Hong, Tae-Kyu won, “Development of Personalized Exercise Prescription System based on Kinect Sensor,” The Journal of the Korea Contents Association, vol. 22, no. 3, pp. 593-605, 2022.

17

Sang-Beom Lee and Yo-Sung Ho, “Intermediate View Synthesis Method using Kinect Depth Camera,” Smart media journal, vol. 1, no. 3, pp. 29–35, 2012.

18

J. Yoon, “A Motion Capture and Mapping System: Kinect Based Human-Robot Interaction Platform,” Journal of the Korea Academia-Industrial cooperation Society, vol. 16, no. 12, pp. 8563–8567, 2015.

19

Ross A. Clark, Yong-Hao Pua, Karine Fortin, Callan Ritchie, Kate E. Webster, Linda Denehy, Adam L. Bryant, “Validity of the Microsoft Kinect for assessment of postural control,” Gait & Posture, vol. 36, no. 3, pp. 372-377, 2012.

20

Mobini, A., Behzadipour, S. & Saadat Foumani, M., “Accuracy of Kinect’s skeleton tracking for upper body rehabilitation applications,” Disability and Rehabilitation: Assistive Technology, vol. 9, no. 4, pp. 344-352, 2013.

21

Kim, Sung-Ho, “Realtime 3D Human Full-Body Convergence Motion Capture using a Kinect Sensor,” Journal of Digital Convergence, vol. 14, no. 1, pp. 189–194, 2016.

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M. do Carmo Vilas-Boas, H. M. P. Chou pina, A. P. Rocha, J. M. Fernandes and J. P. S. Cunha, “Full-body motion assessment: Concurrent validation of two body tracking depth sensors versus a gold standard system during gait,” Journal of Biomechanics, vol. 87, pp. 189-196, 2019.

23

Chae Young Soo, “A Serious Game Design and Prototype Development for Rehabilitation using KINECT Tool,” Journal of Korea Multimedia Society, vol. 17 no. 2, pp. 248–256, 2014.

24

Kyoung-Shin Park, “Development of Kinect-Based Pose Recognition Model for Exercise Game,” KIPS Transactions on Computer and Communication Systems, vol. 5, no. 10, pp. 303–310, 2016.

25

Seung-Buhm Park, Dong-Soo Cho, Hoi-Sung Kee, Rae-Young Park, Seo-Ra Yoon and Kwang-Ik Jung, “Effects of Muscle Fatigue on Shoulder Proprioception,” The Journal of Korean academy of rehabilitation medicine, vol. 34, no. 1, pp. 54-58, 2010.

26

Torbjörn Ledin, P.A. Fransson, M. Magnusson, “Effects of postural disturbances with fatigued triceps surae muscles or with 20% additional body weight,” Gait & Posture, vol. 19, no. 2, pp. 184-193, 2004.

27

Do-kyu Kim, Eun-hy Ko, Kang-sung Lee, Heon-seoc Cynn, “The Influences of Visual Information and Different Elevations of Medially Wedged Insoles on Knee Joint Proprioception in Healthy Persons,” Physical Therapy Korea, vol. 12, no. 1, pp. 22-27, 2005.

28

D. Birchfield and M. Johnson-Glenberg, “A next gen interface for embodied learning: SMALLab and the geological layer cake,” International Journal of Gaming and Computer-Mediated Simulations (IJGCMS), vol. 2, no. 1, pp. 49-58, 2010.

29

C. Y. Yeo et al., “Evaluation of Rehabilitation Exercise Capability in Individuals with Cerebral Palsy Using Machine Learning Based on Joint Angle Data,” Journal of Rehabilitation Welfare Engineering and Assistive Technology, Rehabilitation Engineering and Assistive Technology Society of Korea, vol. 17, no. 4, pp. 289–302, 2023.

30

Donggil Kang, WenXing Yu, HyungJun Cho, “Decision Tree for Mode Estimation,” Journal of the Korean Data Analysis Society, vol. 25, no. 3, pp. 903-911, June 2023.

31

J.-M. Yun, Y.-S. Song, G. J. Bak and S.-K. You, “Prediction of Landslide Probability around Railway using Decision Tree Model,” Journal of the Korean Geosynthetics Society, vol. 16, no. 4, pp. 129–137, Dec. 2017.

32

Jeong-Kyun Kim, Kang Bok Lee and Sang Gi Hong, “ECG-based Biometric Authentication Using Random Forest,” Journal of the Institute of Electronics and Information Engineers, vol. 54, no. 6, pp. 100–105, 2017.

33

Seung Beom Shin, Hyung Jun Cho, “Correlated variable importance for random forests,” The Korean journal of applied statistics, vol. 34, no. 2, pp. 177–190, 2021.

34

Sung Hee Mun, Chil woo Le, “Head Pose Estimation with Accumulated Historgram and Random Forest,” Smart media journal, vol. 5, no. 1, pp. 38–43, 2016.

35

Sang-Boo Kim and Tae-min. Kim, “A Statistical Approach to Paired versus Group Comparisons,” Korean Journal of Applied Statistics, vol. 19, no. 2, pp. 231–240, 2006.

KIEEThe Transactions of
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KIEEThe Transactions ofthe Korean Institute of Electrical Engineers