Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Baekdong Cha"'
Publikováno v:
Applied Sciences, Vol 12, Iss 22, p 11326 (2022)
Robot-assisted gait training (RAGT) is a promising therapeutic vehicle to maximize active participation and enhance functional neuroplasticity in patients with central nervous system pathology by adequately adjusting gait speed, body weight support (
Externí odkaz:
https://doaj.org/article/3ea4674cd6a8466c9d8a445b8e4ac361
Publikováno v:
Sensors, Vol 22, Iss 17, p 6323 (2022)
The timed up-and-go (TUG) test is an efficient way to evaluate an individual’s basic functional mobility, such as standing up, walking, turning around, and sitting back. The total completion time of the TUG test is a metric indicating an individual
Externí odkaz:
https://doaj.org/article/1c2e7ced1bec428a8769b94d02c62e8b
Autor:
Arai, Marylyn Setsuko, Hyunho Kim, Pascavis, Madeleine, Baekdong Cha, Brambilla, Gabriel, Young Kwan Cho, Jinho Park, Vilela, Raquel R. C., de Camargo, Andrea S. S., Castro, Cesar M., Hakho Lee
Publikováno v:
ACS Applied Materials & Interfaces; 7/31/2024, Vol. 16 Issue 29, p38243-38251, 9p
Publikováno v:
International Journal of Control, Automation and Systems. 20:3032-3044
Autor:
Jayeon Song, Baekdong Cha, Jeong Moon, Hyowon Jang, Sunjoo Kim, Jieun Jang, Dongeun Yong, Hyung-Jun Kwon, In-Chul Lee, Eun-Kyung Lim, Juyeon Jung, Hyun Gyu Park, Taejoon Kang
Publikováno v:
ACS Nano. 16:11300-11314
Coronavirus disease (COVID-19) has affected people for over two years. Moreover, the emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants has raised concerns regarding its accurate diagnosis. Here, we report a colorimetr
Publikováno v:
International Journal of Control, Automation and Systems. 18:1335-1342
Haptic augmented virtuality systems can provide users with a highly immersive haptic experience by visuo-haptic collocation of physical objects with their corresponding virtual objects. The collocation can be accomplished by an encounter-type haptic
Publikováno v:
Journal of the HCI Society of Korea. 14:13-20
Deep-Learning-Based Emergency Stop Prediction for Robotic Lower-Limb Rehabilitation Training Systems
Publikováno v:
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. 29
Robotic lower-limb rehabilitation training is a better alternative for the physical training efforts of a therapist due to advantages, such as intensive repetitive motions, economical therapy, and quantitative assessment of the level of motor recover
Autor:
Jongman Kim, Isu Shin, Sunwoo Park, Jongsang Son, Eun Kyoung Choi, Soonjae Ahn, Youngho Kim, Baekdong Cha, Jeseong Ryu
Publikováno v:
MATHEMATICAL PROBLEMS IN ENGINEERING
Mathematical Problems in Engineering, Vol 2015 (2015)
Mathematical Problems in Engineering, Vol 2015 (2015)
The short-time Fourier transform- (STFT-) based algorithm was suggested to distinguish falls from various activities of daily living (ADLs). Forty male subjects volunteered in the experiments including three types of falls and four types of ADLs. An
Publikováno v:
The Proceedings of the Asian Pacific Conference on Biomechanics : emerging science and technology in biomechanics. :189