Zobrazeno 1 - 10
of 74
pro vyhledávání: '"YONGKANG WONG"'
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 750-758 (2024)
The conventional surface electromyography (sEMG)-based gesture recognition systems exhibit impressive performance in controlled laboratory settings. As most systems are trained in a closed-set setting, the systems’s performance may see significant
Externí odkaz:
https://doaj.org/article/cbd068913d444d699b46a584680c004f
Publikováno v:
Bioengineering, Vol 10, Iss 9, p 1101 (2023)
To enhance the performance of surface electromyography (sEMG)-based gesture recognition, we propose a novel network-agnostic two-stage training scheme, called sEMGPoseMIM, that produces trial-invariant representations to be aligned with corresponding
Externí odkaz:
https://doaj.org/article/dfb5b428854e4a7e9a3956829ca7ccd7
Publikováno v:
IEEE Access, Vol 7, Pp 104108-104120 (2019)
To improve the accuracy of surface electromyography (sEMG)-based gesture recognition, we present a novel hybrid approach that combines real sEMG signals with corresponding virtual hand poses. The virtual hand poses are generated by means of a propose
Externí odkaz:
https://doaj.org/article/162171b3c24d4261a5b223ec432be4c3
Publikováno v:
IEEE Access, Vol 6, Pp 68463-68471 (2018)
Attention mechanism has been extensively used in video captioning tasks, which enables further development of deeper visual understanding. However, most existing video captioning methods apply the attention mechanism on the frame level, which only mo
Externí odkaz:
https://doaj.org/article/ca1457f3a56e495ebc2d01044b7abccd
Publikováno v:
PLoS ONE, Vol 14, Iss 9, p e0221390 (2019)
Sensor-based human activity recognition aims at detecting various physical activities performed by people with ubiquitous sensors. Different from existing deep learning-based method which mainly extracting black-box features from the raw sensor data,
Externí odkaz:
https://doaj.org/article/592cdbccbc6b452187169a88a0bb6815
Publikováno v:
PLoS ONE, Vol 13, Iss 10, p e0206049 (2018)
The surface electromyography (sEMG)-based gesture recognition with deep learning approach plays an increasingly important role in human-computer interaction. Existing deep learning architectures are mainly based on Convolutional Neural Network (CNN)
Externí odkaz:
https://doaj.org/article/b819d079c7a04c05a237c142ff354eac
Autor:
QINGFENG DAI, YONGKANG WONG, GUOFEI SUN, YANWEI WANG, ZHOU ZHOU, KANKANHALLI, MOHAN S., XIANGDONG LI, WEIDONG GENG
Publikováno v:
ACM Transactions on Multimedia Computing, Communications & Applications; Feb2024, Vol. 20 Issue 2, p1-18, 18p
Publikováno v:
ACM Transactions on Multimedia Computing, Communications & Applications; Feb2024, Vol. 20 Issue 2, p1-23, 23p
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 18:1-20
Reconstructing three-dimensional (3D) objects from images has attracted increasing attention due to its wide applications in computer vision and robotic tasks. Despite the promising progress of recent deep learning–based approaches, which directly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc82fb672b576df438e0bf7172197e54
https://doi.org/10.1145/3491224
https://doi.org/10.1145/3491224
Autor:
Qingfeng Dai, Yongkang Wong, Guofei Sun, Yanwei Wang, Zhou Zhou, Mohan S. Kankanhalli, Xiangdong Li, Weidong Geng
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications.
Biometric signal based human-computer interface (HCI) has attracted increasing attention due to its wide application in healthcare, entertainment, neurocomputing, and so on. In recent years, deep learning based approaches have made great progress on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d493787d06dd553ddb4234ab8990878
https://doi.org/10.1145/3583885
https://doi.org/10.1145/3583885