Abstract
With the development of the technology such as the Internet of Things, 5G and the Cloud, people pay more attention to their spiritual life, especially emotion sensing and interaction; however, it is still a great challenge to realize the far-end awareness and interaction between people, for the existing far-end interactive system mainly focuses on the voice and video communication, which can hardly meet people’s emotional needs. In this paper, we have designed cloud-assisted pillow robot (CP-Robot) for emotion sensing and interaction. First, we use the signals collected from the Smart Clothing, CP-Robot and smart phones to judge the users’ moods; then we realize the emotional interaction and comfort between users through the CP-Robot; and finally, we give a specific example about a mother who is on a business trip comforting her son at home through the CP-Robot to prove the feasibility and effectiveness of the system.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ge, X., Tu, S., Mao, G., Wang, C.-X., Han, T.: 5G ultra-dense cellular networks (2015). arXiv preprint: arXiv:1512.03143
Zhou, L., Yang, Z., Rodrigues, J.J., Guizani, M.: Exploring blind online scheduling for mobile cloud multimedia services. IEEE Wirel. Commun. 20(3), 54–61 (2013)
Hossain, M.S.: Cloud-supported cyber-physical localization framework for patients monitoring (2015)
Tsai, C.-W., Chiang, M.-C., Ksentini, A., Chen, M.: Metaheuristics algorithm for healthcare: open issues and challenges. Comput. Electr. Eng. (2016)
Qiu, M., Ming, Z., Li, J., Gai, K., Zong, Z.: Phase-change memory optimization for green cloud with genetic algorithm. IEEE Trans. Comput. 64(12), 3528–3540 (2015)
Qiu, M., Chen, Z., Ming, Z., Qin, X., Niu, J.: Energy-aware data allocation with hybrid memory for mobile cloud systems (2014)
Li, Y., Dai, W., Ming, Z., Qiu, M.: Privacy protection for preventing data over-collection in smart city (2015)
Lai, C.-F., Hwang, R.-H., Chao, H.-C., Hassan, M., Alamri, A.: A buffer-aware http live streaming approach for SDN-enabled 5G wireless networks. IEEE Netw. 29(1), 49–55 (2015)
Lin, K., Wang, W., Wang, X., Ji, W., Wan, J.: QoE-driven spectrum assignment for 5G wireless networks using SDR. IEEE Wirel. Commun. 22(6), 48–55 (2015)
Ge, X., Cheng, H., Guizani, M., Han, T.: 5G wireless backhaul networks: challenges and research advances. IEEE Netw. 28(6), 6–11 (2014)
Lai, C.-F., Chao, H.-C., Lai, Y.-X., Wan, J.: Cloud-assisted real-time transrating for http live streaming. IEEE Wirel. Commun. 20(3), 62–70 (2013)
Zhou, L., Wang, H.: Toward blind scheduling in mobile media cloud: fairness, simplicity, and asymptotic optimality. IEEE Trans. Multimedia 15(4), 735–746 (2013)
Zheng, K., Yang, Z., Zhang, K., Chatzimisios, P., Yang, K., Xiang, W.: Big data-driven optimization for mobile networks toward 5G. IEEE Netw. 30(1), 44–51 (2016)
Zheng, K., Hou, L., Meng, H., Zheng, Q., Lu, N., Lei, L.: Soft-defined heterogeneous vehicular network: architecture and challenges (2015). arXiv preprint: arXiv:1510.06579
Lai, C.-F., Wang, H., Chao, H.-C., Nan, G.: A network and device aware QOS approach for cloud-based mobile streaming. IEEE Trans. Multimedia 15(4), 747–757 (2013)
Hossain, M.S., Muhammad, G.: Audio-visual emotion recognition using multi-directional regression and ridgelet transform. J. Multimodal User Interfaces, 1–9 (2015)
Wang, G., Xiang, W., Pickering, M.: A cross-platform solution for light field based 3D telemedicine. Comput. Methods Programs Biomed. 125, 103–116 (2015)
Hossain, M.S., Muhammad, G., Song, B., Hassan, M.M., Alelaiwi, A., Alamri, A.: Audio-visual emotion-aware cloud gaming framework. IEEE Trans. Circuits Syst. Video Technol. 25(12), 2105–2118 (2015)
Hossain, M.S., Muhammad, G., Alhamid, M.F., Song, B., Al-Mutib, K.: Audio-visual emotion recognition using big data towards 5G. Mobile Networks and Applications, 1–11 (2016)
Clavel, C., Callejas, Z.: Sentiment analysis: from opinion mining to human-agent interaction. IEEE Trans. Affect. Comput. 7, 74–93 (2015)
Fortino, G., Galzarano, S., Gravina, R., Li, W.: A framework for collaborative computing and multi-sensor data fusion in body sensor networks. Inf. Fusion 22, 50–70 (2015)
Fortino, G., Di Fatta, G., Pathan, M., Vasilakos, A.V.: Cloud-assisted body area networks: state-of-the-art and future challenges. Wirel. Netw. 20(7), 1925–1938 (2014)
Gravina, R., Fortino, G.: Automatic methods for the detection of accelerative cardiac defense response
Chen, M., Song, E., Guo, D.: A novel multi-functional hugtive robot (2013)
Han, M.-J., Lin, C.-H., Song, K.-T.: Robotic emotional expression generation based on mood transition and personality model. IEEE Trans. Cybern. 43(4), 1290–1303 (2013)
Saadatian, E., Salafi, T., Samani, H., Lim, Y.D., Nakatsu, R.: An affective telepresence system using smartphone high level sensing and intelligent behavior generation. In: Proceedings of the Second International Conference on Human-Agent Interaction, pp. 75–82. ACM (2014)
Chen, M., Hao, Y., Li, Y., Wu, D., Huang, D.: Demo: lives: learning through interactive video and emotion-aware system. In: Proceedings of the 16th ACM International Symposium on Mobile Ad Hoc Networking and Computing, pp. 399–400. ACM (2015)
Nardelli, M., Valenza, G., Greco, A., Lanata, A., Scilingo, E.: Recognizing emotions induced by affective sounds through heart rate variability. IEEE Trans. Affect. Comput. 6, 385–394 (2015)
Soleymani, M., Asghari Esfeden, S., Fu, Y., Pantic, M.: Analysis of EEG signals and facial expressions for continuous emotion detection. IEEE Trans. Affect. Comput. (2015)
Koelstra, S., Patras, I.: Fusion of facial expressions and EEG for implicit affective tagging. Image Vis. Comput. 31(2), 164–174 (2013)
Baltrusaitis, T., Banda, N., Robinson, P.: Dimensional affect recognition using continuous conditional random fields. In: 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG), pp. 1–8. IEEE (2013)
Lahat, D., Adali, T., Jutten, C.: Multimodal data fusion: an overview of methods, challenges, and prospects. Proc. IEEE 103(9), 1449–1477 (2015)
Chen, M., Zhang, Y., Zhang, D., Qi, K.: Big Data Inspiration. Huazhong University of Science and Technology Press, Wuhan (2015)
Acknowledgement
This work was supported by the National Science Foundation of China under Grant 61370179, Grant 61572220 and Grant 61300224. Prof. Min Chen’s work was supported by the International Science and Technology Collaboration Program (2014DFT10070) funded by the China Ministry of Science and Technology (MOST). Prof. Di Wu’s work was supported in part by the National Science Foundation of China under Grant 61272397, Grant 61572538, in part by the Guangdong Natural Science Funds for Distinguished Young Scholar under Grant S20120011187.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Chen, M. et al. (2016). CP-Robot: Cloud-Assisted Pillow Robot for Emotion Sensing and Interaction. In: Wan, J., Humar, I., Zhang, D. (eds) Industrial IoT Technologies and Applications. Industrial IoT 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 173. Springer, Cham. https://doi.org/10.1007/978-3-319-44350-8_9
Download citation
DOI: https://doi.org/10.1007/978-3-319-44350-8_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-44349-2
Online ISBN: 978-3-319-44350-8
eBook Packages: Computer ScienceComputer Science (R0)