Sleep Quality Monitoring with Ambient and Mobile Sensing

Date

2015-05-19

Author

KAHVECİ, ali yavuz
Alemdar, Hande
ERSOY, CEM

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

138
views

0
downloads

Evaluating daily life quality is important in ambient intelligence applications targeted for health status monitoring. When we consider the fact that people approximately spend one-third of their lives sleeping, we need to monitor the sleep quality as well as the activities of daily living in order to be able to provide a seamless health monitoring system. In this paper, a seamless activity recognition system that makes use of multi-modal wireless sensor networks (WSNs) and mobile phones is proposed. The proposed system is then used to collect life-log and sleep behavior data from actual users. In the lights of this information, important factors affecting the sleep quality of a person is extracted.

Subject Keywords

Wireless sensor network (WSN), Life-logging, Sleep quality, Sleep onset latency (SOL)

URI

https://hdl.handle.net/11511/48260

DOI

https://doi.org/10.1109/siu.2015.7129871

Collections

Department of Computer Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Wireless sensor networks for healthcare: A survey Alemdar, Hande (2010-10-28) Becoming mature enough to be used for improving the quality of life, wireless sensor network technologies are considered as one of the key research areas in computer science and healthcare application industries. The pervasive healthcare systems provide rich contextual information and alerting mechanisms against odd conditions with continuous monitoring. This minimizes the need for caregivers and helps the chronically ill and elderly to survive an independent life, besides provides quality care for the babi...
Multimodal Wireless Sensor Network-Based Ambient Assisted Living in Real Homes with Multiple Residents Tunca, Can; Alemdar, Hande; Ertan, Halil; Incel, Ozlem Durmaz; Ersoy, Cem (MDPI AG, 2014-06-01) Human activity recognition and behavior monitoring in a home setting using wireless sensor networks (WSNs) provide a great potential for ambient assisted living (AAL) applications, ranging from health and wellbeing monitoring to resource consumption monitoring. However, due to the limitations of the sensor devices, challenges in wireless communication and the challenges in processing large amounts of sensor data in order to recognize complex human activities, WSN-based AAL systems are not effectively integr...
Design of fully integrated milliwatt thermoelectric energy harvesting interface circuit for wireless body sensor networks Demir, Süleyman Mahircan; Muhtaroğlu, Ali; Electrical and Electronics Engineering (2020-9) Wireless body sensor networks have drawn significant attention for providing out-of-hospital diagnosis and remote abnormality monitoring, which are vitally important for millions of people suffering from chronic diseases. Batteries powering these sensor networks hurt their mobility and longevity due to their bulkiness and down-time during charging or replacement. Therefore, this study focuses on thermoelectric energy harvesting from body heat, and targets eventual replacement of batteries by generating powe...
Design of fully ıntegrated milliwatt thermoelectric energy harvesting ınterface circuit for wireless body sensor networks Demir, Süleyman Mahircan; Muhtaroğlu, Ali; Electrical and Electronics Engineering (2020-12) Wireless body sensor networks have drawn significant attention for providing out-of-hospital diagnosis and remote abnormality monitoring, which are vitally important for millions of people suffering from chronic diseases. Batteries powering these sensor networks hurt their mobility and longevity due to their bulkiness and down-time during charging or replacement. Therefore, this study focuses on thermoelectric energy harvesting from body heat, and targets eventual replacement of batteries by generating powe...
Exploiting energy-aware spatial correlation in wireless sensor networks Shah, Ghalib A.; Bozyigit, Muslim (2007-01-12) Wireless sensor networks (WSNs) promise fine-grain monitoring in a wide variety of applications, which require dense sensor nodes deployment. Due to high density of nodes, spatially redundant or correlated data is generated. Redundancy increases the reliability level of information delivery but increases the energy consumption of the nodes too. Since energy conservation is a key issue for WSNs, therefore, spatial correlation can be exploited to deactivate some of the nodes generating redundant information. ...

Citation Formats

a. y. KAHVECİ, H. Alemdar, and C. ERSOY, “Sleep Quality Monitoring with Ambient and Mobile Sensing,” 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/48260.