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  1. Proceedings of the 4th ACM International Workshop on Context-Awareness for Self-Managing Systems (CASEMANS '10)
  2. Activity recognition of the elderly
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Conversational attitude-aware behavioral design for robot assistant combined with video communication
Formalising policies of a mLearning system using CCA
A cost model for autonomic reconfigurations in high-performance pervasive applications
Placement variations and their diagnosis
A study on a ubiquitous system for collecting barrier-free information of evacuation centers for wheelchair users
Challenges in ubiquitous context recognition with personal mobile devices
Activity recognition of the elderly
Modular context processing and provisioning: prototype experiences
Expectation aware in-network context processing
Context aware architecture for sending adaptive HELLO messages in VANET

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Activity recognition of the elderly

Content Provider ACM Digital Library
Author Kuroda, Tomohiro Hickey, Seamus Noma, Haruo Pouke, Matti
Abstract The development of context aware services is one proposed way to support independent living for the elderly. Performing test scenarios with the elderly helps when developing the context aware services. However, rigorous testing is not always desirable when working with elderly subjects. Our research proposes to capture the activity data of the subjects to use with a virtual environment and virtual human to test the services. This paper begins a larger set of research by describing a process in which the daily activities of the elderly are captured using accelerometer sensors. The process consists of pre-investigation, data capturing and data postprocessing. Using common activity recognition methods daily activities chosen by two elderly subjects themselves are recognized reasonably well. This allows using the described process in larger experiments to acquire more activity data.
Starting Page 46
Ending Page 52
Page Count 7
File Format PDF
ISBN 9781450302135
DOI 10.1145/1858367.1858374
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2010-09-26
Publisher Place New York
Access Restriction Subscribed
Subject Keyword 6-dof sensors Activity recognition E-health
Content Type Text
Resource Type Article
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