Zobrazeno 1 - 10
of 771
pro vyhledávání: '"motion data"'
Publikováno v:
Earth and Planetary Physics, Vol 8, Iss 2, Pp 436-443 (2024)
The M6.2 earthquake in Jishishan, Gansu Province, on December 18, 2023, caused extraordinary earthquake disasters. It was located in the northern part of the north−south seismic zone, which is a key area for earthquake monitoring in China. The newl
Externí odkaz:
https://doaj.org/article/d8d237569b694968848ee006136fa055
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 54, Iss , Pp 101718- (2024)
Earthquakes of magnitude Mw = 7.7 and Mw = 7.6 hit the city of Kahramanmaraş (Turkey) on 6 February 2023. These earthquakes caused serious damage in 11 provinces in Turkey resulting in over 50,000 deaths and huge economic losses with the collapse of
Externí odkaz:
https://doaj.org/article/efbcd96272ee4b1b84b24cc93430609d
Publikováno v:
IEEE Access, Vol 12, Pp 70278-70288 (2024)
With the increasing aging of the population, exoskeleton robots, gait assistance in the medical field, and condition monitoring in the rehabilitation field have been widely concerned by scholars. Accurate recognition of human gait and the perception
Externí odkaz:
https://doaj.org/article/53f9460f2fc340999ca2c213a9b8c3bf
Publikováno v:
IEEE Access, Vol 12, Pp 29373-29384 (2024)
To acquire precise, dependable, and credible trajectory information from extensive motion image datasets, this study introduces a robust mining algorithm grounded in trajectory extraction for voluminous motion data. The algorithm leverages an enhance
Externí odkaz:
https://doaj.org/article/9f8635ab5a1a41f2ac1c59813167b205
Publikováno v:
Sensors, Vol 24, Iss 10, p 3033 (2024)
In this study, we propose a classification method of expert–novice levels using a graph convolutional network (GCN) with a confidence-aware node-level attention mechanism. In classification using an attention mechanism, highlighted features may not
Externí odkaz:
https://doaj.org/article/7a6336780d5c4f858ace42ea69beccb2
Publikováno v:
Sensors, Vol 24, Iss 10, p 3123 (2024)
Human motion capture technology, which leverages sensors to track the movement trajectories of key skeleton points, has been progressively transitioning from industrial applications to broader civilian applications in recent years. It finds extensive
Externí odkaz:
https://doaj.org/article/fce5672d60ca401380964d21594b3667
Akademický článek
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Akademický článek
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Autor:
Ma Yunlong, Sharaf Sanaa
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 7, Iss 1, Pp 917-926 (2021)
The article proposes a human motion capture method based on operational data. The thesis first uses the human body wear system to perform functional processing on the captured periodic motion data, and then extracts the data sequence for the few moti
Externí odkaz:
https://doaj.org/article/5fe76646478546f887cfeff1a2c3a007
Publikováno v:
Journal of Big Data, Vol 8, Iss 1, Pp 1-29 (2021)
Abstract Near-duplicate video content has taken the large storage space in the age of big data. Without respecting the copyright ethic, social media users mirror, resize, and/or hide certain online video content and re-upload it as new data. This res
Externí odkaz:
https://doaj.org/article/6e28c6e9d97a4b0688c8d6a80ef8cc49