Automated data gathering and training tool for personalized "Itchy Nose"

Juyoung lee; Hui Shyong Yeo; Thad Starner; Aaron John Quigley; Kai Kunze; Woontack Woo

doi:10.1145/3174910.3174953

Automated data gathering and training tool for personalized "Itchy Nose"

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

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

2 Downloads (Pure)

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.

Original language	English
Title of host publication	AH '18 Proceedings of the 9th Augmented Human International Conference
Place of Publication	New York
Publisher	ACM
Number of pages	3
ISBN (Electronic)	9781450354158
DOIs	https://doi.org/10.1145/3174910.3174953
Publication status	Published - 7 Feb 2018
Event	9th Augmented Human International Conference - Seoul, Korea, Democratic People's Republic of Duration: 7 Feb 2018 → 9 Feb 2018 Conference number: 9 http://www.sigah.org/AH2018/

Conference

Conference	9th Augmented Human International Conference
Abbreviated title	AH '18
Country/Territory	Korea, Democratic People's Republic of
City	Seoul
Period	7/02/18 → 9/02/18
Internet address	http://www.sigah.org/AH2018/

Keywords

Nose gesture
Subtle interaction
EOG
Wearable computer
Smart eyeglasses
Smart eyewear
Training tool
Online classification

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10.1145/3174910.3174953

Automated data gathering and training tool for personalized Itchy Nose
© 2018, the Author(s). This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1145/3174910.3174953
Accepted author manuscript, 320 KB

Cite this

@inproceedings{fbbda310d0bc496a86003c8128736884,

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.",

keywords = "Nose gesture, Subtle interaction, EOG, Wearable computer, Smart eyeglasses, Smart eyewear, Training tool, Online classification",

author = "Juyoung lee and Yeo, {Hui Shyong} and Thad Starner and Quigley, {Aaron John} and Kai Kunze and Woontack Woo",

year = "2018",

month = feb,

day = "7",

doi = "10.1145/3174910.3174953",

language = "English",

booktitle = "AH '18 Proceedings of the 9th Augmented Human International Conference",

publisher = "ACM",

address = "United States",

note = "9th Augmented Human International Conference, AH '18 ; Conference date: 07-02-2018 Through 09-02-2018",

url = "http://www.sigah.org/AH2018/",

}

lee, J, Yeo, HS, Starner, T, Quigley, AJ, Kunze, K & Woo, W 2018, Automated data gathering and training tool for personalized "Itchy Nose". in AH '18 Proceedings of the 9th Augmented Human International Conference., 43, ACM, New York, 9th Augmented Human International Conference, Seoul, Korea, Democratic People's Republic of, 7/02/18. https://doi.org/10.1145/3174910.3174953

TY - GEN

T1 - Automated data gathering and training tool for personalized "Itchy Nose"

AU - lee, Juyoung

AU - Yeo, Hui Shyong

AU - Starner, Thad

AU - Quigley, Aaron John

AU - Kunze, Kai

AU - Woo, Woontack

N1 - Conference code: 9

PY - 2018/2/7

Y1 - 2018/2/7

N2 - 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.

AB - 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.

KW - Nose gesture

KW - Subtle interaction

KW - EOG

KW - Wearable computer

KW - Smart eyeglasses

KW - Smart eyewear

KW - Training tool

KW - Online classification

U2 - 10.1145/3174910.3174953

DO - 10.1145/3174910.3174953

M3 - Conference contribution

BT - AH '18 Proceedings of the 9th Augmented Human International Conference

PB - ACM

CY - New York

T2 - 9th Augmented Human International Conference

Y2 - 7 February 2018 through 9 February 2018

ER -

Automated data gathering and training tool for personalized "Itchy Nose"

Abstract

Conference

Keywords

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