A comparative home activity monitoring study using visual and inertial sensors

Lili Tao, Tilo Burghardt, Sion L Hannuna, Massimo Camplani, Adeline T M Paiement, Dima Aldamen, Majid Mirmehdi, Ian J Craddock

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

325 Downloads (Pure)

Abstract

Monitoring actions at home can provide essential information for rehabilitation management. This paper presents a comparative study and a dataset for the fully automated, sample-accurate recognition of common home actions in the living room environment using commercial-grade, inexpensive inertial and visual sensors. We investigate the practical home-use of body-worn mobile phone inertial sensors together with an Asus Xmotion RGB-Depth camera to achieve monitoring of daily living scenarios. To test this setup against realistic data, we introduce the challenging SPHERE-H130 action dataset containing 130 sequences of 13 household actions recorded in a home environment. We report automatic recognition results at maximal temporal resolution, which indicate that a vision-based approach outperforms accelerometer provided by two phone-based inertial sensors by an average of 14.85% accuracy for home actions. Further, we report improved accuracy of a vision-based approach over accelerometry on particularly challenging actions as well as when generalising across subjects.
Original languageEnglish
Title of host publication2015 17th International Conference on E-health Networking, Application & Services (HealthCom 2015)
Subtitle of host publicationProceedings of a meeting held 14-17 October 2015, Boston, MA, USA
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages644-647
Number of pages4
ISBN (Electronic)9781467383257
ISBN (Print)9781467383264
DOIs
Publication statusPublished - Apr 2016
Event2015 17th International Conference on E-health Networking, Application & Services (HealthCom) - Boston, MA, United States
Duration: 14 Oct 201517 Oct 2015
Conference number: 17

Conference

Conference2015 17th International Conference on E-health Networking, Application & Services (HealthCom)
Abbreviated titleHealthCom 2015
CountryUnited States
CityBoston, MA
Period14/10/1517/10/15

Structured keywords

  • Digital Health
  • SPHERE

Fingerprint

Dive into the research topics of 'A comparative home activity monitoring study using visual and inertial sensors'. Together they form a unique fingerprint.

Cite this