hh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
PastVision: Exploring “Seeing” into the Near Past with Thermal Touch Sensing and Object Detection – For Robot Monitoring of Medicine Intake by Dementia Patients
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.ORCID iD: 0000-0002-4998-1685
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.ORCID iD: 0000-0002-4929-1262
2017 (English)Conference paper, Published paper (Refereed)
Abstract [en]

We present PastVision, a proof-of-concept approach that explores combining thermal touch sensing and object detection to infer recent actions by a person which have not been directly observed by a system. Inferring such past actions has received little attention yet in the literature, but would be highly useful in scenarios in which sensing can fail (e.g., due to occlusions) and the cost of not recognizing an action is high. In particular, we focus on one such application, involving a robot which should monitor if an elderly person with dementia has taken medicine. For this application, we explore how to combine detection of touches and objects, as well as how heat traces vary based on materials and a person’s grip, and how robot motions and activity models can be leveraged. The observed results indicate promise for the proposed approach.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2017. p. 30-38, article id 003
Series
Linköping Electronic Conference Proceedings, ISSN 1650-3686, E-ISSN 1650-3740 ; 137
Keywords [en]
Thermal Sensing, Home Robots, Action Recognition, Monitoring
National Category
Robotics
Identifiers
URN: urn:nbn:se:hh:diva-35045OAI: oai:DiVA.org:hh-35045DiVA, id: diva2:1143200
Conference
30th Annual Workshop of the Swedish Artificial Intelligence Society SAIS 2017, May 15–16, 2017, Karlskrona, Sweden
Available from: 2017-09-20 Created: 2017-09-20 Last updated: 2018-02-05Bibliographically approved

Open Access in DiVA

fulltext(442 kB)41 downloads
File information
File name FULLTEXT01.pdfFile size 442 kBChecksum SHA-512
20700c214a9e30f90c969dbbe94f4cd46307a7873aa8ca95db1c8ec14697f10239f62740456c19406334b22be3793b96adbece8727da844a171f4e71a58bf931
Type fulltextMimetype application/pdf

Authority records BETA

Cooney, MartinBigun, Josef

Search in DiVA

By author/editor
Cooney, MartinBigun, Josef
By organisation
CAISR - Center for Applied Intelligent Systems Research
Robotics

Search outside of DiVA

GoogleGoogle Scholar
Total: 41 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 166 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf