Emotion-aware system design for the battlefield environment

Abstract

With the increasing amount of information and the growth of data sources on the battlefield, it is important to achieve better battlefield decision-making through the faster and more accurate emotion awareness provided by big data. Existing battlefield systems are mainly focused on logical information acquisition, rarely considering emotion factors. In this paper, an emotion-aware system for the battlefield environment (ESBE) is proposed to achieve various functions, including target localization, target recognition, motion behavior identification, etc., to support intelligent decision-making based on the emotional state of soldiers and other valuable information about the battlefield environment. The ESBE architecture consists of three layers: data-sensing, data-transmission, and data-processing. A heterogeneous network is introduced in data-transmission layer to speed up the transmission ratio and increase the network throughput. In the data-processing layer, cloud technology is introduced to store the big data while information fusion based on a variety of technologies is executed to process the big data. Then, the elaborated function of each architecture layer, such as the fundamental process of the ESBE system, as well as some function provided by the ESBE, is presented separately. Last but not least, the ESBE system is compared with four other existing systems in terms of functions and technologies.