Automated Data Gathering and Training Tool for Personalized "itchy Nose"

Juyoung Lee, Hui Shyong Yeo, Thad Starner, Aaron Quigley, Kai Kunze, Woontack Woo

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

In "Itchy Nose" we proposed a sensing technique for detecting finger movements on the nose for supporting subtle and discreet interaction. It uses the electrooculography sensors embedded in the frame of a pair of eyeglasses for data gathering and uses machine-learning technique to classify different gestures. Here we further propose an automated training and visualization tool for its classifier. This tool guides the user to make the gesture in proper timing and records the sensor data. It automatically picks the ground truth and trains a machine-learning classifier with it. With this tool, we can quickly create trained classifier that is personalized for the user and test various gestures.

本文言語English
ホスト出版物のタイトルProceedings of the 9th Augmented Human International Conference, AH 2018
出版社Association for Computing Machinery
ISBN(電子版)9781450354158
DOI
出版ステータスPublished - 2018 2 6
イベント9th Augmented Human International Conference, AH 2018 - Seoul, Korea, Republic of
継続期間: 2018 2 72018 2 9

出版物シリーズ

名前ACM International Conference Proceeding Series

Other

Other9th Augmented Human International Conference, AH 2018
CountryKorea, Republic of
CitySeoul
Period18/2/718/2/9

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

フィンガープリント 「Automated Data Gathering and Training Tool for Personalized "itchy Nose"」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル