Paper Info
Title
Automated Data Gathering and Training Tool for Personalized "Itchy Nose".
Abstract
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.
Year
DOI
Venue
2018
10.1145/3174910.3174953
AH
Keywords
Field
DocType
Nose gesture,subtle interaction,EOG,wearable computer,smart eyeglasses,smart eyewear,Training tool,online classification
Computer vision,Data collection,Gesture,Visualization,Computer science,Wearable computer,Ground truth,Electrooculography,Artificial intelligence,Classifier (linguistics)
Conference
Citations 
PageRank 
References 
0
0.34
2
Authors
6
Name
Order
Citations
PageRank
Ju-young Lee18814.60
Hui-Shyong Yeo213214.53
T. Starner363361278.80
A. Quigley484684.08
Kai Kunze5898126.25
Woontack Woo61284143.58