Skip navigation
  • Home
  • Browse
    • Communities
      & Collections
    • Browse Items by:
    • Publication Date
    • Author
    • Title
    • Subject
    • Department
  • Sign on to:
    • My MacSphere
    • Receive email
      updates
    • Edit Profile


McMaster University Home Page
  1. MacSphere
  2. Open Access Dissertations and Theses Community
  3. Open Access Dissertations and Theses
Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/8951
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorShirani, Shahramen_US
dc.contributor.advisorDeen, Jamal M.en_US
dc.contributor.authorNabaee, Mahdyen_US
dc.date.accessioned2014-06-18T16:44:49Z-
dc.date.available2014-06-18T16:44:49Z-
dc.date.created2011-05-16en_US
dc.date.issued2010en_US
dc.identifier.otheropendissertations/4117en_US
dc.identifier.other5139en_US
dc.identifier.other2016442en_US
dc.identifier.urihttp://hdl.handle.net/11375/8951-
dc.description.abstract<p>As the number of elderly persons as well as their fraction of the total population<br />continues to rise, especially in the developed countries, providing an appropriate living<br />environment for them using smart home technology is rapidly gaining attention. Two<br />important tasks of a smart home technology are monitoring the daily activities and<br />the vital signs of the elderly to improve their quality of life and to monitor existing<br />or the onset of health abnormalities. In this thesis, we focus on the monitoring of<br />taking medicine by the elderly person using vision sensors (low-cost cameras). This<br />task is important since it helps both the person and the doctor in the treatment<br />of illnesses of elderly persons. The allocated resources of communication bandwidth<br />between the sensor nodes and the computational power, used for this task, affect<br />the implementation cost. Therefore, it is desired to develop an effective scheme<br />which efficiently allocates bandwidth and computational resources to achieve a high<br />reliability (detection performance) at low cost.<br />In this thesis, we have proposed two different approaches to solve this detection<br />and monitoring problem. As the input data are video frames, captured by cameras<br />from the same scene, the frames have inter-view redundancy. Taking advantage of<br />this inter-view redundancy, we proposed a video coding classification scheme based<br />on separate encoding and joint decoding, and have obtained significant compression<br />improvement compared to existing techniques. In the second approach, we studied<br />different parts of the detection and monitoring system to find an efficient design<br />for distribution of different event detection parts between the nodes and the central<br />processing unit so that the allocated resources are reduced. In this scheme, the<br />useful information of the frames are extracted in the form of their main features<br />such that decision making based on these features is the same as decision making<br />based on the raw frames. As a result, we could propose a new scheme which requires<br />significantly less bandwidth and computational resources while achieving the same<br />detection performance.</p>en_US
dc.subjectElectrical and Computer Engineeringen_US
dc.subjectElectrical and Computer Engineeringen_US
dc.titleVision-based Resource Constrained Event Detection for Medical Smart Homesen_US
dc.typethesisen_US
dc.contributor.departmentElectrical and Computer Engineeringen_US
dc.description.degreeMaster of Applied Science (MASc)en_US
Appears in Collections:Open Access Dissertations and Theses

Files in This Item:
File SizeFormat 
fulltext.pdf
Open Access
3.66 MBAdobe PDFView/Open
Show simple item record Statistics


Items in MacSphere are protected by copyright, with all rights reserved, unless otherwise indicated.

Sherman Centre for Digital Scholarship     McMaster University Libraries
©2022 McMaster University, 1280 Main Street West, Hamilton, Ontario L8S 4L8 | 905-525-9140 | Contact Us | Terms of Use & Privacy Policy | Feedback

Report Accessibility Issue