An Effective and Efficient Method for Detecting Hands in Egocentric Videos for Rehabilitation Applications

@article{Vise2020AnEA,
  title={An Effective and Efficient Method for Detecting Hands in Egocentric Videos for Rehabilitation Applications},
  author={Ryan J. Vis{\'e}e and Jirapat Likitlersuang and Jos{\'e} Zariffa},
  journal={IEEE Transactions on Neural Systems and Rehabilitation Engineering},
  year={2020},
  volume={28},
  pages={748-755}
}
  • Ryan J. Visée, Jirapat Likitlersuang, José Zariffa
  • Published in
    IEEE Transactions on Neural…
    2020
  • Engineering, Computer Science, Medicine
  • Individuals with spinal cord injury (SCI) report upper limb function as their top recovery priority. To accurately represent the true impact of new interventions on patient function, evaluation should occur in a natural setting. Wearable cameras can be used to monitor hand function at home, using computer vision to automatically analyze the resulting egocentric videos. A key step in this process, hand detection, is difficult to accomplish robustly and reliably, hindering the deployment of a… CONTINUE READING

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    Analysis of the hands in egocentric vision: A survey

    VIEW 10 EXCERPTS
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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 45 REFERENCES

    YOLO9000: Better, Faster, Stronger

    VIEW 16 EXCERPTS
    HIGHLY INFLUENTIAL

    Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

    VIEW 11 EXCERPTS
    HIGHLY INFLUENTIAL

    Pixel-Level Hand Detection in Ego-centric Videos

    • Cheng Li, Kris M. Kitani
    • Computer Science
    • 2013 IEEE Conference on Computer Vision and Pattern Recognition
    • 2013
    VIEW 6 EXCERPTS
    HIGHLY INFLUENTIAL

    Egocentric video: a new tool for capturing hand use of individuals with spinal cord injury at home

    VIEW 4 EXCERPTS

    SSD: Single Shot MultiBox Detector

    VIEW 7 EXCERPTS
    HIGHLY INFLUENTIAL

    Detecting Hands in Egocentric Videos After Spinal Cord Injury Through a Combination of Object Detection and Tracking Approaches

    • R J Visée, J Likitlersuang, J Zariffa
    • 2019

    The Use of a Finger-Worn Accelerometer for Monitoring of Hand Use in Ambulatory Settings

    VIEW 1 EXCERPT