Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Yejin Nam"'
Autor:
Youngho Kim, Incheol Han, Jeyong Jung, Sumin Yang, Seunghee Lee, Bummo Koo, Soonjae Ahn, Yejin Nam, Sung-Hyuk Song
Publikováno v:
Sensors, Vol 24, Iss 3, p 917 (2024)
The quantification of comfort in binding parts, essential human–machine interfaces (HMI) for the functioning of rehabilitation robots, is necessary to reduce physical strain on the user despite great achievements in their structure and control. Thi
Externí odkaz:
https://doaj.org/article/31db28f14fc2449b980f0369d19c4599
Publikováno v:
Sensors, Vol 23, Iss 4, p 2206 (2023)
Human-machine interfaces (HMI) refer to the physical interaction between a user and rehabilitation robots. A persisting excessive load leads to soft tissue damage, such as pressure ulcers. Therefore, it is necessary to define a comfortable binding pa
Externí odkaz:
https://doaj.org/article/f91ac2466f2f486d9ae23bfb04a317e4
Publikováno v:
Sensors, Vol 22, Iss 16, p 6107 (2022)
Workers at construction sites are prone to fall-from-height (FFH) accidents. The severity of injury can be represented by the acceleration peak value. In the study, a risk prediction against FFH was made using IMU sensor data for accident prevention
Externí odkaz:
https://doaj.org/article/cc545354e87d4df28ed7b6fd634e9aa2
sEMG-Based Hand Posture Recognition Considering Electrode Shift, Feature Vectors, and Posture Groups
Publikováno v:
Sensors, Vol 21, Iss 22, p 7681 (2021)
Surface electromyography (sEMG)-based gesture recognition systems provide the intuitive and accurate recognition of various gestures in human-computer interaction. In this study, an sEMG-based hand posture recognition algorithm was developed, conside
Externí odkaz:
https://doaj.org/article/ab70a0bdbb8b486bb9bddca3c0da4443
Publikováno v:
Sensors, Vol 21, Iss 14, p 4638 (2021)
In this study, algorithms to detect post-falls were evaluated using the cross-dataset according to feature vectors (time-series and discrete data), classifiers (ANN and SVM), and four different processing conditions (normalization, equalization, incr
Externí odkaz:
https://doaj.org/article/c3cf42fb213b428cbc56f0125e48fda6
Publikováno v:
Sensors, Vol 20, Iss 18, p 5388 (2020)
Many safety accidents can occur in industrial sites. Among them, falls from heights (FFHs) are the most frequent accidents and have the highest fatality rate. Therefore, some existing studies have developed personal wearable airbags to mitigate the d
Externí odkaz:
https://doaj.org/article/1211527c296544ec9353982b04e21622
Publikováno v:
Sensors, Vol 20, Iss 5, p 1277 (2020)
Fall-related injury is a common cause of mortality among the elderly. Hip fractures are especially dangerous and can even be fatal. In this study, a threshold-based preimpact fall detection algorithm was developed for wearable airbags that minimize t
Externí odkaz:
https://doaj.org/article/1d6d22a5213e42dc93c49f5fa2fcf0ee
Publikováno v:
Transactions of the Korean Society of Mechanical Engineers - B. 44:185-190
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8eaaeb5e16bc57d47cf10bdedd96ff14
https://doi.org/10.3795/ksme-b.2020.44.3.185
https://doi.org/10.3795/ksme-b.2020.44.3.185
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 14
Sensors, Vol 21, Iss 4638, p 4638 (2021)
Sensors
Volume 21
Issue 14
Sensors, Vol 21, Iss 4638, p 4638 (2021)
In this study, algorithms to detect post-falls were evaluated using the cross-dataset according to feature vectors (time-series and discrete data), classifiers (ANN and SVM), and four different processing conditions (normalization, equalization, incr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3248dc3fdad85ca3907b82c6736540ab
http://europepmc.org/articles/PMC8309569
http://europepmc.org/articles/PMC8309569
Autor:
Haneul Jung, Bummo Koo, Jongman Kim, Yunhee Chang, Yejin Nam, Se-Hoon Park, Youngho Kim, Taehee Kim
Publikováno v:
International Journal of Precision Engineering and Manufacturing.
The pattern-recognition-based control of myoelectric prostheses offers amputees a natural, intuitive approach to more finely control the prostheses. In this context, we recently developed a multichannel surface electromyography (sEMG) module with a l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e94970f9fb9de05cdd122389099d4f3
https://doi.org/10.1007/s12541-021-00546-6
https://doi.org/10.1007/s12541-021-00546-6