Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Kooksung Jun"'
Publikováno v:
Bioengineering, Vol 10, Iss 10, p 1133 (2023)
Human skeleton data obtained using a depth camera have been used for pathological gait recognition to support doctor or physician diagnosis decisions. Most studies for skeleton-based pathological gait recognition have used either raw skeleton sequenc
Externí odkaz:
https://doaj.org/article/b28d75158bf84965b04917f592698b89
Publikováno v:
IEEE Access, Vol 9, Pp 48064-48079 (2021)
Existing methods for fall detection may not detect a fall when it occurs or may generate a false alarm when a fall does not occur. In order to overcome these limitations and detect falls with 100% accuracy, a double-check method for fall detection in
Externí odkaz:
https://doaj.org/article/429e448c14ab46619f2e769f2df51da2
Publikováno v:
IEEE Access, Vol 9, Pp 161576-161589 (2021)
Classification of pathological gaits has an important role in finding a weakened body part and diagnosing a disease. Many machine learning-based approaches have been proposed that automatically classify abnormal gait patterns using various sensors, s
Externí odkaz:
https://doaj.org/article/25adcac6114d4e3dac968e66fe2bf894
Publikováno v:
IEEE Access, Vol 8, Pp 19196-19207 (2020)
In skeleton-based abnormal gait recognition, using original skeleton data decreases the recognition performance because they contain noise and irrelevant information. Instead of feeding original skeletal gait data to a recognition model, features ext
Externí odkaz:
https://doaj.org/article/59c82f1ac6b44ed594b6b2e0836f8298
Publikováno v:
IEEE Access, Vol 8, Pp 139881-139891 (2020)
With the development of depth sensors and skeleton tracking algorithms, many skeleton-based pathological gait classification methods have recently been proposed. However, these methods classify only simple gait patterns, and there is no approach to c
Externí odkaz:
https://doaj.org/article/c9ed715a8b8443d9a5b69748b2892328
Publikováno v:
Applied Sciences, Vol 13, Iss 5, p 2798 (2023)
Attention deficit and hyperactivity disorder (ADHD) is a mixed behavioral disorder that exhibits symptoms, such as carelessness and hyperactivity–impulsivity. To date, existing ADHD diagnosis methods rely on observations by observers, such as paren
Externí odkaz:
https://doaj.org/article/0d5ce7d1332b4060ad924e16e6cb56cb
Publikováno v:
Sensors, Vol 23, Iss 1, p 246 (2022)
The identification of attention deficit hyperactivity disorder (ADHD) in children, which is increasing every year worldwide, is very important for early diagnosis and treatment. However, since ADHD is not a simple disease that can be diagnosed with a
Externí odkaz:
https://doaj.org/article/632ad1a5610145e28e8df4401d6f4bee
Publikováno v:
Sensors, Vol 23, Iss 1, p 278 (2022)
Although attention deficit hyperactivity disorder (ADHD) in children is rising worldwide, fewer studies have focused on screening than on the treatment of ADHD. Most previous similar ADHD classification studies classified only ADHD and normal classes
Externí odkaz:
https://doaj.org/article/c17781fa8a7540f59fae9c564ce108ec
Publikováno v:
Sensors, Vol 22, Iss 9, p 3155 (2022)
Skeleton data, which is often used in the HCI field, is a data structure that can efficiently express human poses and gestures because it consists of 3D positions of joints. The advancement of RGB-D sensors, such as Kinect sensors, enabled the easy c
Externí odkaz:
https://doaj.org/article/e0a5e87e39534f0bbc74f5ee4fde9e54
Publikováno v:
IEEE Access, Vol 9, Pp 161576-161589 (2021)
Classification of pathological gaits has an important role in finding a weakened body part and diagnosing a disease. Many machine learning-based approaches have been proposed that automatically classify abnormal gait patterns using various sensors, s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14724af14197509b0290a7468e19657b
https://ieeexplore.ieee.org/document/9628126/
https://ieeexplore.ieee.org/document/9628126/