Towards a Mobile Assistive System Using Service-oriented Architecture

被引:6
作者
Triboan, Darpan [1 ]
Chen, Liming [1 ]
Chen, Feng [1 ]
机构
[1] De Montfort Univ, Context Intelligence & Interact Res Grp, Leicester LE1 9BH, Leics, England
来源
PROCEEDINGS 2016 IEEE SYMPOSIUM ON SERVICE-ORIENTED SYSTEM ENGINEERING SOSE 2016 | 2016年
关键词
Activities of Daily Living (ADL); Smart Homes (SH); Service-Oriented Architecture (SOA); Semantic Web; Ontology Modelling; Web Ontology Language (OWL); and Activity Recognition (AR); DESIGN PATTERN;
D O I
10.1109/SOSE.2016.41
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
As the aging population grows, age-related diseases show a cohesive increase. Ambient Assistive Living (AAL) systems are being developed and are continually evolving in various areas. While most researchers focus on robust Activity Recognition techniques, this paper investigates some of the architectural challenges of the AAL systems. This study proposes a new system architecture that brings together the service-oriented architecture (SOA), Semantic Web technologies and other methods to address some of the shortfalls in the predecessor system implementations using off-the-shelf and open source components. A partial system implementation is then presented using the proposed system architecture. The system takes some of the key design aspects such as extensibility, reusability, scalability, and maintainability into consideration that can then be seen as a base to further extend the capability of monitoring, collecting, processing and accurately recognising complex or concurrent activities in its overall aim to support assistive living.
引用
收藏
页码:215 / 224
页数:10
相关论文
共 40 条
[1]   Cloud-Based Augmentation for Mobile Devices: Motivation, Taxonomies, and Open Challenges [J].
Abolfazli, Saeid ;
Sanaei, Zohreh ;
Ahmed, Ejaz ;
Gani, Abdullah ;
Buyya, Rajkumar .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2014, 16 (01) :337-368
[2]  
Ali M., 2013, 2013 15 EUROPEAN C P, P1, DOI [10.1109/EPE.2013.6634697, DOI 10.1109/EPE.2013.6634697]
[3]  
Ameen A., 2014, EXTRACTING KNOWLEDGE
[4]   Real-time Mobile Cloud Computing : A Case Study in Face Recognition [J].
Ayad, Marwa ;
Taher, Mohamed ;
Salem, Ashraf .
2014 28TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS WORKSHOPS (WAINA), 2014, :73-78
[5]  
Bohme G., 2012, INVASIVE TECHNIFICAT, P157
[6]  
Borza P. N., 2014, OPTIMIZATION OF ELEC, P22
[7]  
Chen L., 2009, P 11 INT C INF INT W, P296
[8]  
Chen L, 2013, P INT C INF INT WEB, P463, DOI DOI 10.1145/2539150.2539187
[9]   An Ontology-Based Hybrid Approach to Activity Modeling for Smart Homes [J].
Chen, Liming ;
Nugent, Chris ;
Okeyo, George .
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, 2014, 44 (01) :92-105
[10]   Sensor-Based Activity Recognition [J].
Chen, Liming ;
Hoey, Jesse ;
Nugent, Chris D. ;
Cook, Diane J. ;
Yu, Zhiwen .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 2012, 42 (06) :790-808