Zobrazeno 1 - 10
of 157
pro vyhledávání: '"Hyun‐Chool Shin"'
Autor:
Hyunsoo Yoon, Hyun-Chool Shin
Publikováno v:
Journal of Electromagnetic Engineering and Science, Vol 24, Iss 1, Pp 65-77 (2024)
This study aimed to detect fall risk behaviors using radar—a non-contact sensor—to prevent falling accidents, which are one of the most fatal problems faced by older adults. Hospitals and nursing homes often have patients who cannot move alone wi
Externí odkaz:
https://doaj.org/article/9ff22810d40b4a42bf5956357522eebc
Autor:
Jae-Young Baik, Hyun-Chool Shin
Publikováno v:
Journal of Electromagnetic Engineering and Science, Vol 24, Iss 1, Pp 78-88 (2024)
Fall accidents pose a significant threat of severe injuries for the elderly, who often need immediate assistance when they fall. Since the use of conventional contact sensors or cameras might be uncomfortable for the user, research on fall detection
Externí odkaz:
https://doaj.org/article/dace6ce26be142eb83bbe32a54dc8ce5
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:
Journal of Electromagnetic Engineering and Science, Vol 23, Iss 5, Pp 437-445 (2023)
Polysomnography (PSG) is currently the sole method for detecting breathing disorders that occur during sleep, such as apnea and hypopnea. However, PSG monitoring is quite inconvenient for test subjects. This study proposes a non-contact method for de
Externí odkaz:
https://doaj.org/article/8047d391e2f14dfbb23c8511ee45564e
Publikováno v:
Electronics Letters, Vol 60, Iss 7, Pp n/a-n/a (2024)
Abstract Although radar sensors have been known for their robustness in challenging environmental conditions, they face difficulties in distinguishing between upper structure (US), such as road signs, traffic lights, overpasses, and pedestrian bridge
Externí odkaz:
https://doaj.org/article/0547ee0516c6409abcfd3e04764fc50d
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e34474 (2023)
BackgroundAutomatic diagnosis of depression based on speech can complement mental health treatment methods in the future. Previous studies have reported that acoustic properties can be used to identify depression. However, few studies have attempted
Externí odkaz:
https://doaj.org/article/2903e2783c7a4b939445e3f577d8c217
Publikováno v:
IEEE Access, Vol 9, Pp 163654-163664 (2021)
We propose a novel range-bin selection method, temporal phase coherency (TPC), to improve the accuracy of heartbeat extraction by using the frequency-modulated continuous wave (FMCW) radar. The FMCW radar has a range-resolution, and the micro-displac
Externí odkaz:
https://doaj.org/article/64d40556a42f4311bbd76a228a96590f
Publikováno v:
IEEE Access, Vol 9, Pp 1261-1270 (2021)
Frequency modulated continuous wave (FMCW) radar, which can detect the range and small displacement of a target, has been used for contactless vital information extraction. For accurate vital sign (respiration and heartbeat) measurement, a precise se
Externí odkaz:
https://doaj.org/article/94f8211fcdaa4edf8fe10924a8dbb1df
Publikováno v:
Applied Sciences, Vol 13, Iss 7, p 4468 (2023)
The paper proposes a unsupervised method for detecting the three stages of sleep—wake, rapid eye movement (REM) sleep, and non-REM sleep—using biosignals obtained from a 61 GHz single frequency modulated continuous wave (FMCW) radar. To detect th
Externí odkaz:
https://doaj.org/article/ebe17b7d95124b2aac8b2923539b7bd0
Autor:
Heemang Song, Hyun-Chool Shin
Publikováno v:
IEEE Access, Vol 8, Pp 22955-22963 (2020)
In order to establish a reliable map of the road environment, this paper aims to classify the stationary and moving objects unlike the previous researches which generally focus on object recognition. The characteristics of the radar signals of statio
Externí odkaz:
https://doaj.org/article/4b026190c2f54b6281b5fd32144216b9