A sleep monitoring application for u-lifecare using accelerometer sensor of smartphone

Muhammad Fahim, Le Ba Vui, Iram Fatima, Sungyoung Lee, Yongik Yoon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

Ubiquitous lifecare (u-lifecare) is regarded as a seamless technology that can provide services to the patients as well as facilitate the healthy people to maintain an active lifestyle. In this paper, we develop a sleep monitoring application to assists the healthy people for managing their sleep. It provides an unobtrusive and proactive way for the self-management. We utilize the embedded accelerometer sensor of the smartphone as a client node to collect the sleeping data logs. Our proposed model is server-driven approach and process the data over the server machine. We classify the body movements and compute the useful sleep analytics. It facilitates the users to keep the record of daily sleep and assists to change their unhealthy sleeping habits that are identified by our computed sleep analytics such as bed time, wake up, fell asleep, body movements, frequent body movements at different stages of the night, sleep efficiency and time spent in the bed. Furthermore, we also provide our pilot study results to demonstrate the applicability with the real-world service scenarios.

Original languageEnglish
Title of host publicationUbiquitous Computing and Ambient Intelligence
Subtitle of host publicationContext-Awareness and Context-Driven Interaction - 7th International Conference, UCAmI 2013, Proceedings
Pages151-158
Number of pages8
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event7th International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2013 - Carrillo, Costa Rica
Duration: 02 Dec 201306 Dec 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8276 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2013
Country/TerritoryCosta Rica
CityCarrillo
Period02/12/201306/12/2013

Bibliographical note

Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.

Keywords

  • Accelerometer sensor
  • Sleep monitoring
  • Smartphone
  • u-lifecare

ASJC Scopus subject areas

  • Artificial Intelligence
  • Signal Processing
  • Computer Science(all)

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