A Survey on Ambient Intelligence in Health Care.
A Survey on Ambient Intelligence in Health Care.
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DOI：
10.1109/jproc.2013.2262913
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发表时间：
2013-12-01
期刊：
影响因子：
--
通讯作者：
Vasilakos AV
中科院分区：
文献类型：
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作者：
Acampora G;Cook DJ;Rashidi P;Vasilakos AV
环境智能（AmI）是信息技术的一种新范式，旨在通过数字环境来增强人们的能力，这些数字环境对人类的需求，习惯，手势和情感具有敏感性，自适应性和响应性。这种对日常环境的未来愿景将使创新的人机交互成为可能，其特点是无处不在，不引人注目和预期的通信。这种创新的交互范例使环境智能技术成为开发各种真实的生活解决方案的合适候选者，包括在医疗保健领域。本调查将讨论环境智能（AmI）技术在医疗保健领域的出现，以提供必要的背景研究社区。我们将研究实现环境智能愿景所需的基础设施和技术，例如智能环境和可穿戴医疗设备。我们将总结用于开发AmI系统在医疗保健领域的最先进的人工智能方法，包括各种学习技术（从用户交互中学习），推理技术（推理用户的目标和意图）和规划技术（规划活动和交互）。我们还将讨论AmI技术如何支持受各种身体或精神残疾或慢性疾病影响的人。最后，我们将指出该领域的一些成功案例研究，我们将着眼于当前和未来的挑战，以借鉴未来可能的研究路径。
Ambient Intelligence (AmI) is a new paradigm in information technology aimed at empowering people’s capabilities by the means of digital environments that are sensitive, adaptive, and responsive to human needs, habits, gestures, and emotions. This futuristic vision of daily environment will enable innovative human-machine interactions characterized by pervasive, unobtrusive and anticipatory communications. Such innovative interaction paradigms make ambient intelligence technology a suitable candidate for developing various real life solutions, including in the health care domain. This survey will discuss the emergence of ambient intelligence (AmI) techniques in the health care domain, in order to provide the research community with the necessary background. We will examine the infrastructure and technology required for achieving the vision of ambient intelligence, such as smart environments and wearable medical devices. We will summarize of the state of the art artificial intelligence methodologies used for developing AmI system in the health care domain, including various learning techniques (for learning from user interaction), reasoning techniques (for reasoning about users’ goals and intensions) and planning techniques (for planning activities and interactions). We will also discuss how AmI technology might support people affected by various physical or mental disabilities or chronic disease. Finally, we will point to some of the successful case studies in the area and we will look at the current and future challenges to draw upon the possible future research paths.