Reach-to-grasp movements | Miguel Carrasco

FONDECYT-CONICYT (Initiation into research competition) (2011-2013). Role: Principal Researcher.

This project proposes a novel approach to detect reach-to-grasp movements by means of computer vision techniques. My solution fuses two viewpoints, the first of which is obtained from an eye-tracker device capturing the user’s head perspective and the second viewpoint is captured by a wearable camera attached to the user’s wrist.

Project supported by CONICYT under grant no. 11100098

Slide time window motion detection algorithm

Cite: (Carrasco & Clady, 2012).

References

2012

Exploiting eye-hand coordination to detect grasping movements

M. Carrasco, and X. Clady

Image and Vision Computing, 2012

Bib PDF

@article{carrasco2012exploiting,
  title = {Exploiting eye-hand coordination to detect grasping movements},
  author = {Carrasco, M. and Clady, X.},
  journal = {Image and Vision Computing},
  volume = {30},
  pages = {860--874},
  year = {2012},
  doi = {10.1016/j.imavis.2012.07.001},
  google_scholar_id = {LkGwnXOMwfcC}
}