TY - JOUR
T1 - Emotion-Aware Cognitive System in Multi-Channel Cognitive Radio Ad Hoc Networks
AU - Hu, Xiping
AU - Cheng, Jun
AU - Zhou, Mengchu
AU - Hu, Bin
AU - Jiang, Xin
AU - Guo, Yi
AU - Bai, Kun
AU - Wang, Fei
N1 - Funding Information:
Bin Hu (bh@lzu.edu.cn) [SM] is a professor and dean of the School of Information Science and Engineering, Lanzhou University, an adjunct professor with Tsinghua University, China, and a guest professor at ETH Zurich, Switzerland. He is also an IET Fellow. His work has been funded as a PI by the Ministry of Science and Technology, National Science Foundation China, European Framework Programme 7, EPSRC, HEFCE UK, and so on. He has published more than 100 papers including in Science and so on.
Funding Information:
This work was partially supported by the Shen-zhen-Hong Kong Innovative Project under Grant SGLH20161212140718841, the Shenzhen Engineering Laboratory for 3D Content Generating Technologies (No. [2017]476), the Guangdong Technology Project (2017B010110007, 2016B010108010, 2016B010125003), the National Basic Research Program of China (973 Program) (no.2014CB744600), the National Nature Science Foundation of China (61632014, 61210010, 61772508, 81401570), Technology and Information (JSGG20170413171746130, JCYJ20170413152535587, JSGG2016033118 5256983, JSGG20160229115709109), the Fundamental Research Funds for the Central Universities (no.lzujbky-2017-kb08), and the CAS Key Technology Talent Program.
Publisher Copyright:
© 1979-2012 IEEE.
PY - 2018/4
Y1 - 2018/4
N2 - With the development of mCRAHNs, more emerging mobile applications and services could be foreseen and applied in our human society. In this article, we propose an emotion-aware cognitive system (ECS), which aims to provide a systematic approach that can facilitate deployment of different emotion-aware mobile applications in mCRAHNs. ECS is constructed to provide multidimensional emotional data collection and processing approaches for mobile applications working in mCRAHNs. Also, we present a flow of emotion-aware solution designed on ECS, and highlight the implementation and orchestration of several key technologies and schemes we apply in this system for different emotion-aware mobile applications in runtime. In addition, we demonstrate the feasibility of the proposed ECS by presenting a novel emotion-aware mobile application, iSmile, and evaluate the system performance based on this application.
AB - With the development of mCRAHNs, more emerging mobile applications and services could be foreseen and applied in our human society. In this article, we propose an emotion-aware cognitive system (ECS), which aims to provide a systematic approach that can facilitate deployment of different emotion-aware mobile applications in mCRAHNs. ECS is constructed to provide multidimensional emotional data collection and processing approaches for mobile applications working in mCRAHNs. Also, we present a flow of emotion-aware solution designed on ECS, and highlight the implementation and orchestration of several key technologies and schemes we apply in this system for different emotion-aware mobile applications in runtime. In addition, we demonstrate the feasibility of the proposed ECS by presenting a novel emotion-aware mobile application, iSmile, and evaluate the system performance based on this application.
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U2 - 10.1109/MCOM.2018.1700728
DO - 10.1109/MCOM.2018.1700728
M3 - Article
AN - SCOPUS:85045918200
SN - 0163-6804
VL - 56
SP - 180
EP - 187
JO - IEEE Communications Magazine
JF - IEEE Communications Magazine
IS - 4
ER -