Fingertips-based gesture recognition for interaction
Haoqi Fan, Siyuan Yao
Proceedings of the 11th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry, 2012, pp. 347--347.
Abstract: The problem of effectively obtaining the configuration of human hand from image sequence is interesting because of its theoretical importance and it involves with diverse application. A wide range of applications such as Human Computer Interaction (HCI), recognizing fingerspelling, personal verification, etc. can be built that the problem robustly and efficiently solved. At the same time, years of research on Hand Gesture Recognition (HGR), Hand Pose Recovery (HPR) now makes these applications reliably.
Article URL: http://doi.acm.org/10.1145/2407516.2407598
BibTeX format:
@inproceedings{10.1145-2407516.2407598,
  author = {Haoqi Fan and Siyuan Yao},
  title = {Fingertips-based gesture recognition for interaction},
  booktitle = {Proceedings of the 11th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry},
  pages = {347--347},
  year = {2012},
}
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