Zobrazeno 1 - 10
of 116
pro vyhledávání: '"Xiaochao DANG"'
Publikováno v:
Applied Sciences, Vol 14, Iss 16, p 7253 (2024)
Human action recognition has many application prospects in human-computer interactions, innovative furniture, healthcare, and other fields. The traditional human motion recognition methods have limitations in privacy protection, complex environments,
Externí odkaz:
https://doaj.org/article/38a1f3d4d6964ed0bbc6a433d4744013
Publikováno v:
Sensors, Vol 24, Iss 7, p 2364 (2024)
Significant strides have been made in the field of WiFi-based human activity recognition, yet recent wireless sensing methodologies still grapple with the reliance on copious amounts of data. When assessed in unfamiliar domains, the majority of model
Externí odkaz:
https://doaj.org/article/32aeeacd185c494492c261579692d2aa
Publikováno v:
物联网学报, Vol 6, Pp 128-138 (2022)
For the dynamic fading time-varying channel state information, a dynamic adaptive offloading (RLDO) method based on WPT-MEC was proposed to solve the task offloading and resource optimization problems for multiple users by combining wireless power tr
Externí odkaz:
https://doaj.org/article/9c39f61b731644a989ffb485f1cc332e
Publikováno v:
Signals, Vol 3, Iss 4, Pp 875-894 (2022)
This paper uses millimeter-wave radar to recognize gestures in four different scene domains. The four scene domains are the experimental environment, the experimental location, the experimental direction, and the experimental personnel. The experimen
Externí odkaz:
https://doaj.org/article/e9cd85819c634b48b75d2ba58e6127aa
Publikováno v:
IET Radar, Sonar & Navigation, Vol 16, Iss 11, Pp 1796-1808 (2022)
Abstract Non‐contact emotion recognition is a new research field. Using millimetre‐wave radar does not require users to wear any equipment, and there is no privacy violation. This study proposes a new emotion recognition method, which uses millim
Externí odkaz:
https://doaj.org/article/57942e48dc7447abac5582e57f06ce18
Publikováno v:
Sensors, Vol 24, Iss 1, p 142 (2023)
Gait recognition, crucial in biometrics and behavioral analytics, has applications in human–computer interaction, identity verification, and health monitoring. Traditional sensors face limitations in complex or poorly lit settings. RF-based approac
Externí odkaz:
https://doaj.org/article/fd49f6d0f3be4af88f176eec4542b681
Publikováno v:
物联网学报, Vol 6, Pp 106-116 (2022)
With the development of the wireless communication technology and sensing technology, various technologies based on wireless sensor networks are applied.These technologies are widely used in the fields of intelligent agriculture, intelligent transpor
Externí odkaz:
https://doaj.org/article/b6fe8a50832640419476d6aa62e4bae6
Publikováno v:
Sensors, Vol 23, Iss 23, p 9430 (2023)
Human movement recognition is the use of perceptual technology to collect some of the limb or body movements presented. This practice involves the use of wireless signals, processing, and classification to identify some of the regular movements of th
Externí odkaz:
https://doaj.org/article/e494a90b37de4bc899c41e727fb709cb
Publikováno v:
Applied Sciences, Vol 13, Iss 19, p 10759 (2023)
Due to their individual advantages, the integration of lexicon information and pre-trained models like BERT has been widely adopted in Chinese sequence labeling tasks. However, given their high demand for training data, efforts have been made to enha
Externí odkaz:
https://doaj.org/article/07d4a7dcf3d141baa78c541f2580bf80
Publikováno v:
Applied Sciences, Vol 13, Iss 17, p 9668 (2023)
With the popularization of Wi-Fi router devices, the application of device-free sensing has garnered significant attention due to its potential to make our lives more convenient. Wi-Fi signal-based through-the-wall human detection offers practical ap
Externí odkaz:
https://doaj.org/article/5eb8c2c4af564943b830c820b4fa89d5