Access the full text.
Sign up today, get DeepDyve free for 14 days.
Ke Zhang, Y. Mao, S. Leng, Quanxin Zhao, Longjiang Li, Xin Peng, Li Pan, Sabita Maharjan, Yan Zhang (2016)
Energy-Efficient Offloading for Mobile Edge Computing in 5G Heterogeneous NetworksIEEE Access, 4
Changchun Liu, Pramila Rani, N. Sarkar (2006)
An empirical study of machine learning techniques for affect recognition in human–robot interactionPattern Analysis and Applications, 9
Kai Lin, Min Chen, Jing Deng, M. Hassan, G. Fortino (2016)
Enhanced Fingerprinting and Trajectory Prediction for IoT Localization in Smart BuildingsIEEE Transactions on Automation Science and Engineering, 13
Xiaohu Ge, J. Ye, Yang Yang, Qiang Li (2015)
User Mobility Evaluation for 5G Small Cell Networks Based on Individual Mobility ModelIEEE Journal on Selected Areas in Communications, 34
Scotty Craig, A. Graesser, Jeremiah Sullins, B. Gholson (2004)
Affect and learning: An exploratory look into the role of affect in learning with AutoTutorJournal of Educational Media, 29
K Gai, L Qiu, H Zhao, M Qiu (2016)
Cost-aware multimedia data allocation for heterogeneous memory using genetic algorithm in cloud computingIEEE Trans on Cloud Comput
Zhaoyang Zhang, Honggang Wang, A. Vasilakos, Hua Fang (2012)
ECG-Cryptography and Authentication in Body Area NetworksIEEE Transactions on Information Technology in Biomedicine, 16
Yan Zhang, Rong Yu, Shengli Xie, Wenqing Yao, Yang Xiao, M. Guizani (2011)
Home M2M networks: Architectures, standards, and QoS improvementIEEE Communications Magazine, 49
Daxin Tian, Jianshan Zhou, Yunpeng Wang, Yingrong Lu, Haiying Xia, Zhenguo Yi (2015)
A Dynamic and Self-Adaptive Network Selection Method for Multimode Communications in Heterogeneous Vehicular TelematicsIEEE Transactions on Intelligent Transportation Systems, 16
C. Magerkurth, A. Cheok, R. Mandryk, Trond Nilsen (2005)
Pervasive games: bringing computer entertainment back to the real worldComput. Entertain., 3
S. Tivatansakul, M. Ohkura, Supadchaya Puangpontip, T. Achalakul (2014)
Emotional healthcare system: Emotion detection by facial expressions using Japanese database2014 6th Computer Science and Electronic Engineering Conference (CEEC)
Honggang Wang, D. Peng, Wei Wang, H. Sharif, Hsiao-Hwa Chen, National Kung (2010)
Resource-aware secure ECG healthcare monitoring through body sensor networksIEEE Wireless Communications, 17
Changchun Liu, Pramila Agrawal, Nilanjan Sarkar, Shuo Chen (2009)
Dynamic Difficulty Adjustment in Computer Games Through Real-Time Anxiety-Based Affective FeedbackInternational Journal of Human–Computer Interaction, 25
T. Fong, I. Nourbakhsh, K. Dautenhahn (2003)
A survey of socially interactive robotsRobotics Auton. Syst., 42
Rosalind Picard (2003)
Affective computing: challengesInt. J. Hum. Comput. Stud., 59
R. Katz (2009)
Tech Titans Building BoomIEEE Spectrum, 46
A. Paulraj (2003)
Introduction to Space-Time Wireless Communications
RW Picard (1999)
Pro. HCI
Yuyang Peng, F. Al-Hazemi, Heejae Kim, Chan-Hyun Youn (2016)
Joint Selection for Cooperative Spectrum Sensing in Wireless Sensor NetworksIEEE Sensors Journal, 16
S. Fairclough (2009)
Fundamentals of physiological computingInteract. Comput., 21
K. Gilleade, A. Dix, J. Allanson (2005)
Affective Videogames and Modes of Affective Gaming: Assist Me, Challenge Me, Emote Me (ACE), 3
M. Pantic, L. Rothkrantz (2000)
Automatic Analysis of Facial Expressions: The State of the ArtIEEE Trans. Pattern Anal. Mach. Intell., 22
Hua Fang, Maria Rizzo, Honggang Wang, K. Espy, Zhenyuan Wang (2010)
A new nonlinear classifier with a penalized signed fuzzy measure using effective genetic algorithmPattern recognition, 43 4
J. Sykes, Simon Brown (2003)
Affective gaming: measuring emotion through the gamepadCHI '03 Extended Abstracts on Human Factors in Computing Systems
T. Rappaport, Shu Sun, Rimma Mayzus, Hang Zhao, Yaniv Azar, Kevin Wang, George Wong, Jocelyn Schulz, Mathew Samimi, Felix Gutierrez (2013)
Millimeter Wave Mobile Communications for 5G Cellular: It Will Work!IEEE Access, 1
Z Zeng, M Pantic, GI Roisman, TS Huang (2009)
A survey of affect recognition methods: audio, visual, and spontaneous expressionsIEEE Trans Pattern Analysis and Machine Intelligence, 31
Saurabh Soman, H. Zareipour, O. Malik, P. Mandal (2010)
A review of wind power and wind speed forecasting methods with different time horizonsNorth American Power Symposium 2010
C. Breazeal (2003)
Emotion and sociable humanoid robotsInt. J. Hum. Comput. Stud., 59
(2016)
Energy efficiency optimization of frequency radio chains for 5G wireless communication systems
R. Likamwa, Yunxin Liu, N. Lane, Lin Zhong (2013)
MoodScope: building a mood sensor from smartphone usage patterns
Björn Schuller, M. Lang, G. Rigoll (2006)
Recognition of Spontaneous Emotions by Speech within Automotive Environment
Yuyang Peng, F. Hazemi, Heejae Kim, Chan-Hyun Youn (2017)
Design and Optimization for Energy-Efficient Cooperative MIMO Transmission in Ad Hoc NetworksIEEE Transactions on Vehicular Technology, 66
R. Raghavendra, Parthasarathy Ranganathan, V. Talwar, Zhikui Wang, Xiaoyun Zhu (2008)
No "power" struggles: coordinated multi-level power management for the data center
Dongrui Wu, T. Parsons, E. Provost, Shrikanth Narayanan (2010)
Speech emotion estimation in 3D space2010 IEEE International Conference on Multimedia and Expo
Meikang Qiu, Zhong Ming, Jiayin Li, Keke Gai, Ziliang Zong (2015)
Phase-Change Memory Optimization for Green Cloud with Genetic AlgorithmIEEE Transactions on Computers, 64
A. Metallinou, Sungbok Lee, Shrikanth Narayanan (2010)
Decision level combination of multiple modalities for recognition and analysis of emotional expression2010 IEEE International Conference on Acoustics, Speech and Signal Processing
Zhaoyang Zhang, Hua Fang, Honggang Wang (2016)
Multiple Imputation based Clustering Validation (MIV) for Big Longitudinal Trial Data with Missing Values in eHealthJournal of Medical Systems, 40
Kai Lin, Wenjian Wang, Xianbin Wang, Wen Ji, J. Wan (2015)
QoE-driven spectrum assignment for 5G wireless networks using SDRIEEE Wireless Communications, 22
Dong-Jun Lee, Minkee Park, Joo-Ho Lee (2015)
Height adjustable Multi-legged Giant Yardwalker for variable presence2015 IEEE International Conference on Advanced Intelligent Mechatronics (AIM)
Min Chen, Yin Zhang, Yong Li, M. Hassan, Atif Alamri (2015)
AIWAC: affective interaction through wearable computing and cloud technologyIEEE Wireless Communications, 22
E. Jang, B. Park, Sang-Hyebo Kim, Myoung-Ae Chung, Mi-Sook Park, J. Sohn (2013)
Classification of Human Emotions from Physiological signals using Machine Learning Algorithms
(2014)
A new cooperativeMIMO scheme based on SM for energy efficiency improvement in wireless sensor network
C. Busso, Z. Deng, S. Yıldırım, M. Bulut, C. Lee, Ebrahim Kazemzadeh, Sungbok Lee, U. Neumann, Shrikanth Narayanan (2004)
Analysis of emotion recognition using facial expressions, speech and multimodal information
C. Conati (2002)
Probabilistic assessment of user's emotions in educational gamesApplied Artificial Intelligence, 16
M Armbrust, A Fox, R Griffith, AD Joseph, RH Katz, A Konwinski, G Lee, DA Patterson, A Rabkin, I Stoica, M Zaharia (2010)
A view of cloud computingCommun ACM, 53
Yuyang Peng, Chan-Hyun Youn (2015)
An energy‐efficient cooperative MIMO transmission with data compression in wireless sensor networksIEEJ Transactions on Electrical and Electronic Engineering, 10
Kai Lin, Jeungeun Song, Jiming Luo, Wen Ji, M. Hossain, Ahmed Ghoneim (2017)
Green Video Transmission in the Mobile Cloud NetworksIEEE Transactions on Circuits and Systems for Video Technology, 27
Zhipeng Tang, Anfeng Liu, Changqin Huang (2016)
Social-Aware Data Collection Scheme Through Opportunistic Communication in Vehicular Mobile NetworksIEEE Access, 4
Yibin Li, Wenyun Dai, Zhong Ming, Meikang Qiu (2016)
Privacy Protection for Preventing Data Over-Collection in Smart CityIEEE Transactions on Computers, 65
Lili Zhang, Yan Zhang (2009)
Energy-Efficient Cross-Layer Protocol of Channel-Aware Geographic-Informed Forwarding in Wireless Sensor NetworksIEEE Transactions on Vehicular Technology, 58
Je d’ailleurs, Je d’ailleurs (2021)
ExpressionsCross-Cultural Pragmatics
Rosalind Picard, S. Papert, W. Bender, B. Blumberg, C. Breazeal, D. Cavallo, Tod Machover, M. Resnick, D. Roy, C. Strohecker (2004)
Affective Learning — A ManifestoBT Technology Journal, 22
M. Grimm, K. Kroschel, E. Provost, Shrikanth Narayanan (2007)
Primitives-based evaluation and estimation of emotions in speechSpeech Commun., 49
Shuguang Cui, A. Goldsmith, A. Bahai (2004)
Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networksIEEE Journal on Selected Areas in Communications, 22
Michael Armbrust, A. Fox, Rean Griffith, A. Joseph, R. Katz, A. Konwinski, Gunho Lee, D. Patterson, A. Rabkin, I. Stoica, M. Zaharia (2010)
A view of cloud computingInt. J. Networked Distributed Comput., 1
Yuyang Peng, Dong-Ki Kang, F. Hazemi, Chan-Hyun Youn (2017)
Energy and QoS aware resource allocation for heterogeneous sustainable cloud datacentersOpt. Switch. Netw., 23
Navin Sharma, Pranshu Sharma, David Irwin, Prashant Shenoy (2011)
Predicting solar generation from weather forecasts using machine learning2011 IEEE International Conference on Smart Grid Communications (SmartGridComm)
R Raghavendra, P Ranganathan, V Talwar, Z Wang, X Zhu (2008)
13th Int. Conf. Archit. Support program. Lang. Oper. Syst., New York, pp
田大新, 张国辉, 王云鹏, 夏海英, 周建山 (2016)
An adaptive vehicular epidemic routing method based on attractor selection model
Meikang Qiu, Zhi Chen, Zhong Ming, X. Qin, J. Niu (2017)
Energy-Aware Data Allocation With Hybrid Memory for Mobile Cloud SystemsIEEE Systems Journal, 11
Min Chen, Yin Zhang, Yong Li, S. Mao, Victor Leung (2015)
EMC: Emotion-aware mobile cloud computing in 5GIEEE Network, 29
Xiaohu Ge, Song Tu, Guoqiang Mao, Chengxiang Wang, T. Han (2015)
5G Ultra-Dense Cellular NetworksIEEE Wireless Communications, 23
F. Axisa, André Dittmar, G. Delhomme (2003)
Smart clothes for the monitoring in real time and conditions of physiological, emotional and sensorial reactions of humanProceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439), 4
T. Parsons, Arvind Iyer, L. Cosand, Christopher Courtney, A. Rizzo (2009)
Neurocognitive and Psychophysiological Analysis of Human Performance within Virtual Reality EnvironmentsStudies in health technology and informatics, 142
B. Fasel, J. Luettin (2003)
Automatic facial expression analysis: a surveyPattern Recognit., 36
C. Lee, Shrikanth Narayanan (2005)
Toward detecting emotions in spoken dialogsIEEE Transactions on Speech and Audio Processing, 13
CM Lee, SS Narayanan (2005)
Toward detecting emotions in spoken dialogs, IEEE TransSpeech and Audio Processing, 13
Weifeng Zhong, Rong Yu, Shengli Xie, Yan Zhang, D. Tsang (2016)
Software Defined Networking for Flexible and Green Energy InternetIEEE Communications Magazine, 54
Daxin Tian, Jianshan Zhou, Yunpeng Wang, Guohui Zhang, Haiying Xia (2016)
An adaptive vehicular epidemic routing method based on attractor selection modelAd Hoc Networks, 36
As people become more aware of the emotion detection and fifth generation (5G) technology, emotion-aware mobile computing has become a hot issue in the affective computing systems. Emotion-aware mobile computing utilizes mobile and computing technology to detect the affective state of a person. It is a new active research area and will bring many attractive applications and services with the development of 5G. Emotion-aware mobile computing has two main veins: analysis and computation. With the support of big data and cloud computing technology, mobile users are able to obtain better performance in terms of resource intensive service. The whole process of emotion-aware mobile computing requires data collection, data transmission, data analysis, data cognition, and emotion-aware action feedback. In order to detect the accurate emotion, massive data are required to be processed in each step. Therefore, the energy consumption is not an ignorable issue in this technology. In this paper, a framework of energy efficient emotion-aware mobile computing system is proposed. It considers the energy saving from both local user part and remote data centers part. In the local user part, the energy efficient data transmission approach is introduced while in the remote data centers part, the renewable energy based geo-distributed data centers are considered. The results from the analysis demonstrate that the proposed framework is useful to provide energy saving while keeping quality of service (QoS).
Mobile Networks and Applications – Springer Journals
Published: Apr 26, 2017
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.