Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Young-Hoon Nho"'
Publikováno v:
Advanced Science, Vol 11, Iss 34, Pp n/a-n/a (2024)
Abstract A self‐powered mechanoreceptor array is demonstrated using four mechanoreceptor cells for recognition of dynamic touch gestures. Each cell consists of a triboelectric nanogenerator (TENG) for touch sensing and a bi‐stable resistor (biris
Externí odkaz:
https://doaj.org/article/5a93371e43204a079454bf7f00943d6a
Autor:
Camarin E. Rolle, Grace Y. Ng, Young-Hoon Nho, Daniel A.N. Barbosa, Rajat S. Shivacharan, Joshua I. Gold, Dani S. Bassett, Casey H. Halpern, Vivek Buch
Publikováno v:
Brain Stimulation, Vol 16, Iss 5, Pp 1384-1391 (2023)
Background: Loss of control (LOC) eating, the subjective sense that one cannot control what or how much one eats, characterizes binge-eating behaviors pervasive in obesity and related eating disorders. Closed-loop deep-brain stimulation (DBS) for bin
Externí odkaz:
https://doaj.org/article/e0638d4b02ca4974a577c0c8fec25499
Publikováno v:
IEEE Access, Vol 10, Pp 8804-8815 (2022)
Fall from height (FFH) is an accident that leads to fatalities in construction workers, and a major cause of FFH is due to the improper fastening of a safety hook of a safety harness to a temporary structure. In this study, we propose a new approach
Externí odkaz:
https://doaj.org/article/ff5e4e0fba5e454b936b28ff4245ee99
Publikováno v:
IEEE Access, Vol 8, Pp 40389-40401 (2020)
This paper proposes an automatic fall detector in a wearable device that can reduce risks by detecting falls and promptly alerting caregivers. For this purpose, we propose cluster-analysis-based user-adaptive fall detection using a fusion of heart ra
Externí odkaz:
https://doaj.org/article/0ba11df788c34b45a97f88946c01a372
Autor:
Kellogg, Marissa A., Ernst, Lia D., Spencer, David C., Datta, Proleta, Klein, Eran, Bhati, Mahendra T., Shivacharan, Rajat S., Young-Hoon Nho, Barbosa, Daniel A. N., Halpern, Casey H., Raslan, Ahmed
Publikováno v:
Neurology: Clinical Practice; Aug2024, Vol. 14 Issue 4, p1-13, 13p
Publikováno v:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Publikováno v:
IEEE Sensors Journal. 21:9949-9958
This article proposes an automatic fall detection method for a wearable device that can promptly alert caregivers when a fall is detected, which could reduce the injuries of elder people. To do this, we propose a novel generative adversarial network
Publikováno v:
IEEE Access, Vol 8, Pp 40389-40401 (2020)
This paper proposes an automatic fall detector in a wearable device that can reduce risks by detecting falls and promptly alerting caregivers. For this purpose, we propose cluster-analysis-based user-adaptive fall detection using a fusion of heart ra
Autor:
WonKi Lee, Un-Je Yang, Minho Hwang, Joonhwan Kim, Dukyoo Kong, Young-Hoon Nho, Dong-Soo Kwon, DukSang Kim
Publikováno v:
The international journal of medical robotics + computer assisted surgery : MRCASREFERENCES. 17(3)
Background Intraocular surgery and reconstructive surgery are challenging microsurgery procedures that require two types of motion: precise motion and larger motion. To effectively perform the requisite motion using a robot, it is necessary to develo
Autor:
Young-Hoon Nho, Seung-Bae Jeon, Il-Woong Tcho, Weon-Guk Kim, Dong-Soo Kwon, Daewon Kim, Sang-Jae Park, Yang-Kyu Choi
Publikováno v:
Nano Energy. 41:139-147
With the rapidly increasing number of older people in our societies, fall detection is becoming more important: Older adults may fall at home when they are alone and they may not be found in time for them to get help. In addition, a fall itself can c