Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Shuai Cao"'
Autor:
Weiyu Zhang, Shuai Cao, Zhaofeng Wu, Min Zhang, Yali Cao, Jixi Guo, Furu Zhong, Haiming Duan, Dianzeng Jia
Publikováno v:
Sensors, Vol 20, Iss 1, p 149 (2019)
Inspired by the enhanced gas-sensing performance by the one-dimensional hierarchical structure, one-dimensional hierarchical polyaniline/multi-walled carbon nanotubes (PANI/CNT) fibers were prepared. Interestingly, the simple heating changed the sens
Externí odkaz:
https://doaj.org/article/f8fb0bc7eac44501b98aeff7f2498c64
Publikováno v:
Sensors, Vol 19, Iss 10, p 2353 (2019)
This paper presents a novel audio indoor localization system. In the proposed system, four speakers placed at known positions transmit chirp signals according to the time-division multiple access (TDMA) plus frequency-division multiple access (FDMA)
Externí odkaz:
https://doaj.org/article/fa754535fc1b403bb041027c870b8ab2
Publikováno v:
Sensors, Vol 18, Iss 10, p 3226 (2018)
To find out the feasibility of different neural networks in sEMG-based force estimation, in this paper, three types of networks, namely convolutional neural network (CNN), long short-term memory (LSTM) network and their combination (C-LSTM) were appl
Externí odkaz:
https://doaj.org/article/76463bacf0ca47b397afb9731f315d67
Publikováno v:
Sensors, Vol 18, Iss 7, p 2238 (2018)
A novel framework based on the fast orthogonal search (FOS) method coupled with factorization algorithms was proposed and implemented to realize high-accuracy muscle force estimation via surface electromyogram (SEMG). During static isometric elbow fl
Externí odkaz:
https://doaj.org/article/33927a5f5869466798dc49f8fbd59017
Publikováno v:
Sensors, Vol 17, Iss 5, p 1002 (2017)
With the aim of providing an objective tool for motion disability assessment in clinical diagnosis and rehabilitation therapy of cerebral palsy (CP) patients, an acceleration-based gait assessment method was proposed in this paper. To capture gait in
Externí odkaz:
https://doaj.org/article/492ab057903f4492a7fb803ca5030b82
Publikováno v:
Sensors, Vol 16, Iss 4, p 556 (2016)
Sign language recognition (SLR) can provide a helpful tool for the communication between the deaf and the external world. This paper proposed a component-based vocabulary extensible SLR framework using data from surface electromyographic (sEMG) senso
Externí odkaz:
https://doaj.org/article/23c7c6c4aef348e69dcec6d6ab8ef1d1
Publikováno v:
Sensors, Vol 16, Iss 1, p 100 (2016)
Sign language recognition (SLR) has been widely used for communication amongst the hearing-impaired and non-verbal community. This paper proposes an accurate and robust SLR framework using an improved decision tree as the base classifier of random fo
Externí odkaz:
https://doaj.org/article/8aee9acb09a44a6f98bf1cdb0ac3491d
Publikováno v:
Sensors, Vol 18, Iss 10, p 3226 (2018)
Sensors
Volume 18
Issue 10
Sensors (Basel, Switzerland)
Sensors
Volume 18
Issue 10
Sensors (Basel, Switzerland)
To find out the feasibility of different neural networks in sEMG-based force estimation, in this paper, three types of networks, namely convolutional neural network (CNN), long short-term memory (LSTM) network and their combination (C-LSTM) were appl
Autor:
Min Zhang, Haiming Duan, Yali Cao, Jixi Guo, Weiyu Zhang, Furu Zhong, Dianzeng Jia, Shuai Cao, Zhaofeng Wu
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 1
Sensors, Vol 20, Iss 1, p 149 (2019)
Sensors
Volume 20
Issue 1
Sensors, Vol 20, Iss 1, p 149 (2019)
Inspired by the enhanced gas-sensing performance by the one-dimensional hierarchical structure, one-dimensional hierarchical polyaniline/multi-walled carbon nanotubes (PANI/CNT) fibers were prepared. Interestingly, the simple heating changed the sens
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 19
Issue 10
Sensors, Vol 19, Iss 10, p 2353 (2019)
Sensors
Volume 19
Issue 10
Sensors, Vol 19, Iss 10, p 2353 (2019)
This paper presents a novel audio indoor localization system. In the proposed system, four speakers placed at known positions transmit chirp signals according to the time-division multiple access (TDMA) plus frequency-division multiple access (FDMA)