Zobrazeno 1 - 6
of 6
pro vyhledávání: '"SeungHeon Chae"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract In general, sanding robots that move as if drawing a line along a surface are mainly used when sanding objects with a large area; however, they require a long working time, and it is difficult to secure a uniform sanded area. This study focu
Externí odkaz:
https://doaj.org/article/8480855eae514a1da13a54a4d11736b2
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 3953-3965 (2024)
The objective of this study was to propose a novel strategy for detecting upper-limb motion intentions from mechanical sensor signals using deep and heterogeneous transfer learning techniques. Three sensor types, surface electromyography (sEMG), forc
Externí odkaz:
https://doaj.org/article/99952d8eb4f44b608351b627787359f4
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 1292-1301 (2024)
Balanced posture without dizziness is achieved via harmonious coordination of visual, vestibular, and somatosensory systems. Specific frequency bands of center of pressure (COP) signals during quiet standing are closely related to the sensory inputs
Externí odkaz:
https://doaj.org/article/ea4f5197b3304220a276d32bd42a6602
Publikováno v:
Actuators, Vol 13, Iss 3, p 92 (2024)
This study presents a machine learning model for predicting lumbar spine moments using data from low-cost sensors, with the ultimate aim of developing a control strategy for waist-active exoskeleton devices. The limitation of sparse features in low-c
Externí odkaz:
https://doaj.org/article/97dd9a4112264c698fef4a97686f8eec
Publikováno v:
Applied Sciences, Vol 11, Iss 24, p 11735 (2021)
Accurately measuring the lower extremities and L5/S1 moments is important since L5/S1 moments are the principal parameters that measure the risk of musculoskeletal diseases during lifting. In this study, protocol that predicts lower extremities and L
Externí odkaz:
https://doaj.org/article/caeca0dff9d04c3fa64aae214d138f88
Autor:
Ahnryul Choi, Seungheon Chae, Tae-Hyong Kim, Hyunwoo Jung, Sang-Sik Lee, Ki-Young Lee, Joung-Hwan Mun
Publikováno v:
Applied Sciences, Vol 11, Iss 12, p 5464 (2021)
Patient-to-medical image registration is a crucial factor that affects the accuracy of image-guided ENT- and neurosurgery systems. In this study, a novel registration protocol that extracts the point cloud in the patient space using the contact appro
Externí odkaz:
https://doaj.org/article/47b81328b4244f9fb4ecb55ad68e0688