| Title |
Modular and Personalized Smart Health Application Design in a Smart City Environment |
| ID_Doc |
38197 |
| Authors |
Venkatesh, J; Aksanli, B; Chan, CS; Akyurek, AS; Rosing, TS |
| Title |
Modular and Personalized Smart Health Application Design in a Smart City Environment |
| Year |
2018 |
| Published |
Ieee Internet Of Things Journal, 5, 2 |
| DOI |
10.1109/JIOT.2017.2712558 |
| Abstract |
The Internet of Things (IoT) envisions to create a smart, connected city that is composed of ubiquitous environmental and user sensing along with distributed, low-capacity computing. This provides ample information regarding the citizens in various smart environments. We can leverage this peoplecentric information, provided by the smart city infrastructure, to improve "smart health" applications: user data from connected wearable devices can be accompanied with ubiquitous environmental sensing and versatile actuation. The state-of-the-art in smart health applications is black-box, end-to-end implementations which are neither intended for use with heterogeneous data nor adaptable to a changing set of sensing and actuation. In this paper, we apply our modular approach for IoT applications-the context engine-to smart health problems, enabling the ability to grow with available data, use general-purpose machine learning, and reduce compute redundancy and complexity. For smart health, this improves response times for critical situations, more efficient identification of health-related conditions and subsequent actuation in a smart city environment. We demonstrate the potential with three sets of interconnected context-aware applications, extracting health-related people-centric context, such as user presence, user activity, air quality, and location from IoT sensors. |
| Author Keywords |
Context-aware computation; Internet of Things (IoT); personalized health-care; smart health |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000429971100015 |
| WoS Category |
Computer Science, Information Systems; Engineering, Electrical & Electronic; Telecommunications |
| Research Area |
Computer Science; Engineering; Telecommunications |
| PDF |
https://doi.org/10.1109/jiot.2017.2712558
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