Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Kiwon Rhee"'
Publikováno v:
Entropy, Vol 26, Iss 11, p 915 (2024)
The importance of information gathering is emphasized to minimize casualties and economic losses in warfare. Through electronic warfare, which utilizes electromagnetic waves, it is possible to discern the enemy’s intentions and respond accordingly,
Externí odkaz:
https://doaj.org/article/8c7939527925466bbcee7936626759c8
Publikováno v:
Applied Sciences, Vol 10, Iss 16, p 5593 (2020)
In this study, we proposed a precise onset and offset detection algorithm for muscle activation by using an electromyogram (EMG). The adaptive threshold was determined using the constant false alarm rate algorithm. The EMG signal was refined by morph
Externí odkaz:
https://doaj.org/article/88e05bb1a17646fb859cef9ed4142c5f
Autor:
Kiwon Rhee, Hyun-Chool Shin
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 14 (2018)
In the recognition of electromyogram-based hand gestures, the recognition accuracy may be degraded during the actual stage of practical applications for various reasons such as electrode positioning bias and different subjects. Besides these, the cha
Externí odkaz:
https://doaj.org/article/2f16126713c24a32b671850a07b2e3c5
Publikováno v:
Journal of Microbiology. 60:705-714
Ubiquitin is highly conserved in most eukaryotes and involved in diverse physiological processes, including cell division, protein quality control, and protein degradation mediated by the ubiquitin-proteasome system after heat shock, glucose-starvati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d24db9f7a3419bcc09d5ff432b96948c
https://doi.org/10.1007/s12275-022-2204-y
https://doi.org/10.1007/s12275-022-2204-y
Publikováno v:
ICOIN
In this study, we propose a muscle activity detection algorithm which reflects the activation state. Since muscle in outer part is related to extraction of fingers and inner part controls contraction of fingers, we use two channels of EMG from inner
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0741817a458326208ceb52cd3ef0137
https://doi.org/10.1109/icoin50884.2021.9333969
https://doi.org/10.1109/icoin50884.2021.9333969
Autor:
Hyun-Chool Shin, Kiwon Rhee
Publikováno v:
ICOIN
The electromyogram (EMG) based finger motion recognition accuracy may be degraded during the actual stage of practical applications due to various causes. Among them, the representative issue is the changes of the EMG signals of the identical finger
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72fcc73325894d46343b049482d733e6
https://doi.org/10.1109/icoin.2018.8343237
https://doi.org/10.1109/icoin.2018.8343237
Publikováno v:
Journal of IKEEE. 17:505-510
In this paper, a method of estimating hand and elbow movements using electrocorticogram (ECoG) signals is proposed. Using multiple channels, surface electromyogram (EMG) signals and ECoG signals were obtained from patients simultaneously. The estimat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a9ed5190e44646d40517a962828f878
https://doi.org/10.7471/ikeee.2013.17.4.505
https://doi.org/10.7471/ikeee.2013.17.4.505
This paper proposes a method of remotely controlling robots with arm gestures using surface electromyography (EMG) and accelerometer sensors attached to the operator’s wrists. The EMG and accelerometer sensors receive signals from the arm gestures
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68a55b2c0a3e9cea8f7a970757206a36
Publikováno v:
ISPACS
In this work, we propose a new method of robot navigation control through electromyogram (EMG) and acceleration sensors attached to human arms. This method allows the user to control the robot remotely by his/her intuitive motion like car steering. E
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::611a740157fd6a43ff9cdd477f9e89ce
https://doi.org/10.1109/ispacs.2011.6146142
https://doi.org/10.1109/ispacs.2011.6146142
Publikováno v:
Experimental Neurobiology
We provide a novel method to infer finger flexing motions using a four-channel surface electromyogram (EMG). Surface EMG signals can be recorded from the human body non-invasively and easily. Surface EMG signals in this study were obtained from four
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1dfcef3257b3e53885205ff62c502b3
https://pubmed.ncbi.nlm.nih.gov/22110342
https://pubmed.ncbi.nlm.nih.gov/22110342