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Frontiers of Computer Science

, Volume 9, Issue 6, pp 966–979 | Cite as

Non-intrusive sleep pattern recognition with ubiquitous sensing in elderly assistive environment

  • Hongbo NiEmail author
  • Shu Wu
  • Bessam Abdulrazak
  • Daqing Zhang
  • Xiaojuan Ma
  • Xingshe Zhou
Research Article

Abstract

The quality of sleep may be a reflection of an elderly individual’s health state, and sleep pattern is an important measurement. Recognition of sleep pattern by itself is a challenge issue, especially for elderly-care community, due to both privacy concerns and technical limitations. We propose a novelmulti-parametric sensing system called sleep pattern recognition system (SPRS). This system, equipped with a combination of various non-invasive sensors, can monitor an elderly user’s sleep behavior. It accumulates the detecting data from a pressure sensor matrix and ultra wide band (UWB) tags. Based on these two types of complementary sensing data, SPRS can assess the user’s sleep pattern automatically via machine learning algorithms. Compared to existing systems, SPRS operateswithout disrupting the users’ sleep. It can be used in normal households with minimal deployment. Results of tests in our real assistive apartment at the Smart Elder-care Lab are also presented in this paper.

Keywords

sleep pattern elder-care pressure sensor UWB tags Naïve Bayes Random Forest 

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Copyright information

© Higher Education Press and Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Hongbo Ni
    • 1
    Email author
  • Shu Wu
    • 2
  • Bessam Abdulrazak
    • 3
  • Daqing Zhang
    • 4
  • Xiaojuan Ma
    • 5
  • Xingshe Zhou
    • 1
  1. 1.School of Computer ScienceNorthwestern Polytechnic UniversityXi’anChina
  2. 2.Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition Institute of AutomationChinese Academy of SciencesBeijingChina
  3. 3.Department of ComputerUniversity of SherbrookeSherbrookeCanada
  4. 4.Handicom LabInstitut Telecom SudParisEvryFrance
  5. 5.Huawei Noah’s Ark LabHong KongChina

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