EMC: Emotion-aware mobile cloud computing in 5G

Min Chen, Yin Zhang, Yong Li, Shiwen Mao, Victor C.M. Leung
2015 IEEE Network  
dvances in wearable computing, social networking, and the Internet of Things (IoT) are transforming traditional network applications to be more human-centric. Especially with the recent developments in mobile cloud computing (MCC) and mobile communications, the user's experience can be greatly enhanced by the notion of "carrying small while enjoying large" [1] . As the mobile communications industry traveled a long way from 2G to 4G, now 5G aims to change the world by connecting anything to
more » ... hing. Different from its previous versions, the research of 5G is focusing on new spectrum bands [2], wireless transmissions [3], cellular networking, etc., for an increase in capacity. It will be an intelligent technology to interconnect the wireless world without barriers. Along with MCC technology, 5G networks are paving the way for the computing-intensive applications involving multi-dimensional massive data processing assisted by the cloud [4]. The system characteristics of 5G include high data rate, low latency, and high capacity to support various challenging applications. Despite the powerful access capabilities offered by 5G mobile networks, the following issues still need to be addressed to satisfy mobile users' requirements of quality of experience (QoE). Insufficient Emotion-Oriented Care -Although the development of sensors and wearable devices has spawned a plethora of mobile, pervasive, and intelligent applications as well as new service models, users' psychological status is challenging to deal with to meet the increasing demands of emotional care. Most existing emotion-aware applications sense emotion by the relationship between the user's emotion and behavioral patterns of the mobile phone usage [5] . However, the inference accuracy of emotion recognition is either limited by the small scale data collected by smartphones, or dependent on labor-intensive manual labeling processes, which limit the provisioning of sufficient emotion-oriented care. Thus, the major purpose of such applications is for smartphone-based entertainment [6]. By comparison, this article also considers "serious" emotion care for improving people's health status, especially for those suffering from abnormal mental states. Resource-Limited Feedback -Nowadays, the usage patterns of mobile phones such as call logs and SMS logs, as well as environmental data collection assisted by the smartphone's built-in sensors, have been utilized to develop personalized applications and services based on human emotion [5] . However, the feedback of such emotion-aware applications simply relies on the smartphone itself, which limits the provisioning of a higher quality of QoE. Manual Intervention -Being influenced by the traditional service model, most mobile applications passively respond to user input, such as text, touch, voice, image, and so on. Yet applications cannot be aware of a user's "voiceless" require- A Abstract With the development of 5G, the wireless world will be interconnected without barriers. This new technology will enable many challenging applications, and more personalized and interactive services are expected to be available with resourcelimited mobile terminals. Fortunately, mobile cloud computing (MCC) emerging in the context of 5G has the potential to overcome this bottleneck, which enables many resource-intensive services for mobile users with the support of mobile big data delivery and cloud-assisted computing. In this article we propose a novel framework named EMC in the context of 5G, which offers personalized emotionaware services by MCC and affective computing. With the proposed framework, the traditional MCC architecture is modified to achieve the required Quality of Experience in emotion-aware applications. Furthermore, we design a partitioning solution corresponding to the fundamental trade-off between the communication and computation in EMC. The framework would be helpful to provide personalized, human-centric, intelligent emotion-aware services in 5G.
doi:10.1109/mnet.2015.7064900 fatcat:sxxr4kvodbf2vkitlyk57iwgne