Segmenting Instrumented Activities of Daily Living (IADL) Using Kinematic and Sensor Technology for the Assessment of Limb Apraxia

Charmayne M.L. Hughes, Manish Parekh, Joachim Hermsdörfer

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

In this paper we present a method of segmenting instrumented activities of daily living (IADL) using kinematic criterion coupled with sensor technology. To collect our training data we asked four neurologically healthy individuals to make a total of 60 cups of tea with a set order of ASs. We then evaluated our IADL segmentation technique in healthy individuals and patients with limb apraxia, and demonstrate that combining kinematic criterion with sensor data is provides an accurate means to segment IADL's into relevant ASs.

Original languageEnglish
Title of host publicationHCI International 2013 - Posters' Extended Abstracts - International Conference, HCI International 2013, Proceedings
PublisherSpringer Verlag
Pages158-162
Number of pages5
EditionPART II
ISBN (Print)9783642394751
DOIs
StatePublished - 2013
Event15th International Conference on Human-Computer Interaction, HCI International 2013 - Las Vegas, NV, United States
Duration: 21 Jul 201326 Jul 2013

Publication series

NameCommunications in Computer and Information Science
NumberPART II
Volume374
ISSN (Print)1865-0929

Conference

Conference15th International Conference on Human-Computer Interaction, HCI International 2013
Country/TerritoryUnited States
CityLas Vegas, NV
Period21/07/1326/07/13

Keywords

  • action segmentation
  • activities of daily living
  • apraxia

Fingerprint

Dive into the research topics of 'Segmenting Instrumented Activities of Daily Living (IADL) Using Kinematic and Sensor Technology for the Assessment of Limb Apraxia'. Together they form a unique fingerprint.

Cite this