Our therapists should be able to use this to objectively recognize the hand deficits you have and create protocols that will correct those deficits. That will never occur.
Egocentric video: a new tool for capturing hand use of individuals with spinal cord injury at home
- Jirapat LikitlersuangView ORCID ID profile,
- Elizabeth R. Sumitro,
- Tianshi CaoView ORCID ID profile,
- Ryan J. ViséeView ORCID ID profile,
- Sukhvinder Kalsi-RyanView ORCID ID profile and
- José ZariffaEmail authorView ORCID ID profile
Journal of NeuroEngineering and Rehabilitation201916:83
© The Author(s). 2019
- Received: 25 January 2019
- Accepted: 25 June 2019
- Published: 5 July 2019
Abstract
Background
Current upper extremity
outcome measures for persons with cervical spinal cord injury (cSCI)
lack the ability to directly collect quantitative information in home
and community environments. A wearable first-person (egocentric) camera
system is presented that aims to monitor functional hand use outside of
clinical settings.
Methods
The system is based on
computer vision algorithms that detect the hand, segment the hand
outline, distinguish the user’s left or right hand, and detect
functional interactions of the hand with objects during activities of
daily living. The algorithm was evaluated using egocentric video
recordings from 9 participants with cSCI, obtained in a home simulation
laboratory. The system produces a binary hand-object interaction
decision for each video frame, based on features reflecting motion cues
of the hand, hand shape and colour characteristics of the scene.
Results
The output from the algorithm
was compared with a manual labelling of the video, yielding F1-scores of
0.74 ± 0.15 for the left hand and 0.73 ± 0.15 for the right hand. From
the resulting frame-by-frame binary data, functional hand use measures
were extracted: the amount of total interaction as a percentage of
testing time, the average duration of interactions in seconds, and the
number of interactions per hour. Moderate and significant correlations
were found when comparing these output measures to the results of the
manual labelling, with ρ = 0.40, 0.54 and 0.55 respectively.
Conclusions
These results demonstrate the potential of a wearable egocentric camera for capturing quantitative measures of hand use at home.
No comments:
Post a Comment