Emotion-Aware Connected Healthcare Big Data Towards 5G
Emotion-Aware Connected Healthcare Big Data Towards 5G
复制标题
DOI：
10.1109/jiot.2017.2772959
复制
发表时间：
2018-08-01
影响因子：
10.6
通讯作者：
Muhammad, Ghulam
中科院分区：
文献类型：
--
作者：
Hossain, M. Shamim;Muhammad, Ghulam
最近在新兴的5G、边缘计算、物联网（IoT）的互连设备和数据分析以及技术方面，面向大数据的无线技术的发展使互联医疗服务能够实现更快乐、更健康的生活。虽然，医疗服务的质量可以通过面向大数据的无线技术来提高，但是，不考虑情感护理的挑战仍然存在，特别是对于儿童，老年人和精神病患者。在本文中，我们提出了一个情感感知的连接医疗系统，使用一个强大的情感检测模块。不同的物联网设备用于在智能家居场景中捕获患者的语音和图像信号。这些信号被用作情感检测模块的输入。语音和图像信号被分开处理，并且使用这些信号的分类分数被融合以产生最终分数来做出关于情感的决定。如果这种情绪被检测为疼痛，护理人员可以访问患者。实验结果表明，该系统对情感检测的准确率高达99.87%。拟议的框架将大大有助于个性化和无缝的情感感知医疗服务走向5G。
The recent development of big data-oriented wireless technologies in terms of emerging 5G, edge computing, interconnected devices of the Internet of Things (IoT), and data analytics, as well as techniques, have enabled connected healthcare services for a happier and healthier life. Although, the quality of the healthcare services can be enhanced through big data-oriented wireless technologies, however, the challenges remain for not considering emotional care, especially for children, elderly, and mentally ill people. In this paper, we propose an emotion-aware connected healthcare system using a powerful emotion detection module. Different IoT devices are used to capture speech and image signals of a patient in a smart home scenario. These signals are used as the input to the emotion detection module. Speech and image signals are processed separately, and classification scores using these signals are fused to produce a final score to take a decision about the emotion. If the emotion is detected as pain, caregivers can visit the patient. Several experiments were performed to validate the proposed system, and good accuracies, up to 99.87%, were achieved for emotion detection. The proposed framework would greatly contribute personalized and seamless emotion-aware healthcare services toward 5G.