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
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 language | English |
|---|---|
| Title of host publication | IEEE International Conference on Pervasive Computing and Communications |
| Subtitle of host publication | Workshop on Pervasive Health Technologies |
| Publisher | IEEE |
| Pages | 522-527 |
| ISBN (Electronic) | 978-1-5386-3227-7 |
| ISBN (Print) | 978-1-5386-3228-4 |
| DOIs | |
| Publication status | Published (in print/issue) - 23 Mar 2018 |
| Event | 2018 IEEE International Conference on Pervasive Computing and Communications (PerCom Workshops) - Athens, Greece Duration: 19 Mar 2018 → 23 Mar 2018 |
Conference
| Conference | 2018 IEEE International Conference on Pervasive Computing and Communications (PerCom Workshops) |
|---|---|
| Country/Territory | Greece |
| City | Athens |
| Period | 19/03/18 → 23/03/18 |
