Computer Vision-Based Gait Velocity from Non-Obtrusive Thermal Vision Sensors

Javier Medina, Colin Shewell, I Cleland, Joseph Rafferty, CD Nugent, Macarena Espinilla

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Gait velocity is an important measure of independence
and functional ability to those within the older population.
Detecting changes in gait velocity can aid to provide
interventions to avoid hospitalisation, currently gait velocity is
assessed in a clinical setting, where the patient is timed over a
measured distance between 3–6 metres by a clinician, however,
this is time consuming, subjective, and not possible to carry
out frequently over time. An unobtrusive method of monitoring
gait velocity, frequently, over extended periods of time, would
therefore be advantageous when developing interventions. This
paper proposes an unobtrusive computer vision-based method
of continuously monitoring an occupants gait velocity within
their own home. This is achieved through the use of a low cost
thermal vision sensor. The system was benchmarked against the
clinical standard method of being timed by a stopwatch. Results
show a high correlation between the gait velocity measured by
the thermal vision sensor and the measured stopwatch velocity
Original languageEnglish
Title of host publicationIEEE International Conference on Pervasive Computing and Communications
Subtitle of host publicationWorkshop on Pervasive Health Technologies
PublisherIEEE
Pages522-527
ISBN (Electronic)978-1-5386-3227-7
ISBN (Print)978-1-5386-3228-4
DOIs
Publication statusPublished - 23 Mar 2018
Event2018 IEEE International Conference on Pervasive Computing and Communications (PerCom Workshops) - Athens, Greece
Duration: 19 Mar 201823 Mar 2018

Conference

Conference2018 IEEE International Conference on Pervasive Computing and Communications (PerCom Workshops)
CountryGreece
CityAthens
Period19/03/1823/03/18

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  • Cite this

    Medina, J., Shewell, C., Cleland, I., Rafferty, J., Nugent, CD., & Espinilla, M. (2018). Computer Vision-Based Gait Velocity from Non-Obtrusive Thermal Vision Sensors. In IEEE International Conference on Pervasive Computing and Communications : Workshop on Pervasive Health Technologies (pp. 522-527). IEEE. https://doi.org/10.1109/PERCOMW.2018.8480174