A Survey on Ambient Intelligence in Healthcare

被引:10
作者
Esch, Jim
机构
[1] Acampora, Giovanni
[2] Cook, Diane J.
[3] Rashidi, Parisa
[4] Vasilakos, Athanasios V.
基金
美国国家科学基金会;
关键词
Special issues and sections; Medical services; Ambient intelligence; Wireless sensor networks; Artificial intelligence; Robot sensing systems; Transducers; Wireless communication;
D O I
10.1109/JPROC.2013.2286654
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Ambient Intelligence (AmI) is a new paradigm in information technology aimed at empowering people's capabilities by 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 AmI technology a suitable candidate for developing various real life solutions, including in the healthcare domain. This survey will discuss the emergence of AmI techniques in the healthcare 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 AmI, such as smart environments and wearable medical devices. We will summarize the state-of-the-art artificial intelligence (AI) methodologies used for developing AmI system in the healthcare 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.
引用
收藏
页码:2467 / 2469
页数:3
相关论文
共 240 条
[1]  
Aarts E., 2009, Technology guide: Principles-applications-trends, P244
[2]   New research perspectives on Ambient Intelligence [J].
Aarts, Emile ;
de Ruyter, Boris .
JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS, 2009, 1 (01) :5-14
[3]   A Pervasive Visual-Haptic Framework for Virtual Delivery Training [J].
Abate, Andrea F. ;
Acampora, Giovanni ;
Loia, Vincenzo ;
Ricciardi, Stefano ;
Vasilakos, Athanasios V. .
IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, 2010, 14 (02) :326-334
[4]  
Acampora G, 2005, ISIE 2005: PROCEEDINGS OF THE IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS 2005, VOLS 1- 4, P107
[5]  
Acampora G, 2005, IEEE SYS MAN CYBERN, P2578
[6]  
Acampora G, 2005, IEEE INT CONF FUZZY, P465
[7]  
Acampora G, 2005, LECT NOTES COMPUT SC, V3528, P26
[8]   A proposal of ubiquitous fuzzy computing for Ambient Intelligence [J].
Acampora, Giovanni ;
Loia, Vincenzo .
INFORMATION SCIENCES, 2008, 178 (03) :631-646
[9]   Fuzzy control interoperability and scalability for adaptive domotic framework [J].
Acampora, Giovanni ;
Loia, Vincenzo .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2005, 1 (02) :97-111
[10]   Interoperable and Adaptive Fuzzy Services for Ambient Intelligence Applications [J].
Acampora, Giovanni ;
Gaeta, Matteo ;
Loia, Vincenzo ;
Vasilakos, Athanasios V. .
ACM TRANSACTIONS ON AUTONOMOUS AND ADAPTIVE SYSTEMS, 2010, 5 (02)