Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Yun-Jie Jhang"'
Publikováno v:
Applied Sciences, Vol 11, Iss 17, p 7838 (2021)
This study aims to develop a novel automated computer vision algorithm for quality inspection of surfaces with complex patterns. The proposed algorithm is based on both an autoencoder (AE) and a fully convolutional neural network (FCN). The AE is ado
Externí odkaz:
https://doaj.org/article/44ca5701faca4cfb8e56266fb926d06d
Publikováno v:
Applied Sciences, Vol 10, Iss 18, p 6507 (2020)
The objective of this study is to present novel neural network (NN) algorithms and systems for sensor-based hand gesture recognition. The algorithms are able to classify accurately a sequence of hand gestures from the sensory data produced by acceler
Externí odkaz:
https://doaj.org/article/bd460b373cc5424b880e839572e69175
Publikováno v:
Sensors, Vol 19, Iss 18, p 3986 (2019)
The goal of this work is to present a novel continuous finger gesture recognition system based on flex sensors. The system is able to carry out accurate recognition of a sequence of gestures. Wireless smart gloves equipped with flex sensors were impl
Externí odkaz:
https://doaj.org/article/65c79566ca484b56b7b8a4eb0d4ffbe8
Publikováno v:
IEEE Systems Journal. 16:3882-3893
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::543b7d7388b8cb2607ed255abf11535d
https://doi.org/10.1109/jsyst.2021.3092764
https://doi.org/10.1109/jsyst.2021.3092764
Publikováno v:
Applied Sciences, Vol 10, Iss 6507, p 6507 (2020)
Applied Sciences
Volume 10
Issue 18
Applied Sciences
Volume 10
Issue 18
The objective of this study is to present novel neural network (NN) algorithms and systems for sensor-based hand gesture recognition. The algorithms are able to classify accurately a sequence of hand gestures from the sensory data produced by acceler
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a11af187831c999dbcbeb4b5ee1b190
https://www.mdpi.com/2076-3417/10/18/6507
https://www.mdpi.com/2076-3417/10/18/6507
This article aims to present a novel sensor-based continuous hand gesture recognition algorithm by long short-term memory (LSTM). Only the basic accelerators and/or gyroscopes are required by the algorithm. Given a sequence of input sensory data, a m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e02d1180b80aa194c76e3dad19c83f3
http://arxiv.org/abs/2007.11268
http://arxiv.org/abs/2007.11268
Publikováno v:
IEEE Internet of Things Journal. 4:1773-1786
A novel quality of service (QoS) provisioning algorithm for home networks is presented in this paper. The algorithm carries out the QoS-aware bandwidth allocation using the general regression neural networks (GRNNs). Among all the allocations predict
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c934d50ad36439e1058518371e9892f9
https://doi.org/10.1109/jiot.2017.2707094
https://doi.org/10.1109/jiot.2017.2707094
Publikováno v:
Sensors, Vol 19, Iss 18, p 3986 (2019)
Sensors
Volume 19
Issue 18
Sensors (Basel, Switzerland)
Sensors
Volume 19
Issue 18
Sensors (Basel, Switzerland)
The goal of this work is to present a novel continuous finger gesture recognition system based on flex sensors. The system is able to carry out accurate recognition of a sequence of gestures. Wireless smart gloves equipped with flex sensors were impl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f81056360383b3f15873c9ac4f40280
https://www.mdpi.com/1424-8220/19/18/3986
https://www.mdpi.com/1424-8220/19/18/3986
Publikováno v:
iThings/GreenCom/CPSCom/SmartData
This paper presents a novel feedforward neural network for sensor-based dynamic hand gesture recognition. The algorithm, termed PairNet, is capable of carrying out accurate gesture spotting for the sensory data produced by basic accelerators and gyro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd13276fe9abae82e407f6d4db11a5c5
https://doi.org/10.1109/ithings/greencom/cpscom/smartdata.2019.00174
https://doi.org/10.1109/ithings/greencom/cpscom/smartdata.2019.00174
Publikováno v:
TSP
The goal of this paper is to implement an efficient FPGA-based hardware architectures for the design of fast artificial vision systems. The proposed architecture is capable of performing classification operations of a Convolutional Neural Network (CN
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::498c86253279adb1b8a07f9c14be33f0
https://doi.org/10.1109/tsp.2017.8076054
https://doi.org/10.1109/tsp.2017.8076054