ML Anthology

Hand Grip Pattern Recognition for Mobile User Interfaces

Kee-Eung Kim, Wook Chang, Sung-Jung Cho, Junghyun Shim, Hyunjeong Lee, Joonah Park, Youngbeom Lee, Sangryoung Kim
AAAI 2006 pp. 1789-1794
/aaai/2006/kim2006aaai-hand/

Abstract

This paper presents a novel user interface for handheld mobile devices by recognizing hand grip patterns. Par-ticularly, we consider the scenario where the device is provided with an array of capacitive touch sensors un-derneath the exterior cover. In order to provide the users with intuitive and natural manipulation experience, we use pattern recognition techniques for identifying the users ’ hand grips from the touch sensors. Preliminary user studies suggest that filtering out unintended user hand grip is one of the most important issues to be re-solved. We discuss the details of the prototype imple-mentation, as well as engineering challenges for practi-cal deployment.

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Cite

Text

Kim et al. "Hand Grip Pattern Recognition for Mobile User Interfaces." AAAI Conference on Artificial Intelligence, 2006.

Markdown

[Kim et al. "Hand Grip Pattern Recognition for Mobile User Interfaces." AAAI Conference on Artificial Intelligence, 2006.](https://mlanthology.org/aaai/2006/kim2006aaai-hand/)

BibTeX

@inproceedings{kim2006aaai-hand,
  title     = {{Hand Grip Pattern Recognition for Mobile User Interfaces}},
  author    = {Kim, Kee-Eung and Chang, Wook and Cho, Sung-Jung and Shim, Junghyun and Lee, Hyunjeong and Park, Joonah and Lee, Youngbeom and Kim, Sangryoung},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2006},
  pages     = {1789-1794},
  url       = {https://mlanthology.org/aaai/2006/kim2006aaai-hand/}
}