TY - GEN
T1 - In the blink of an eye - Combining head motion and eye blink frequency for activity recognition with google glass
AU - Ishimaru, Shoya
AU - Kunze, Kai
AU - Kise, Koichi
AU - Weppner, Jens
AU - Dengel, Andreas
AU - Lukowicz, Paul
AU - Bulling, Andreas
PY - 2014
Y1 - 2014
N2 - We demonstrate how information about eye blink frequency and head motion patterns derived from Google Glass sensors can be used to distinguish different types of high level activities. While it is well known that eye blink frequency is correlated with user activity, our aim is to show that (1) eye blink frequency data from an unobtrusive, commercial platform which is not a dedicated eye tracker is good enough to be useful and (2) that adding head motion patterns information significantly improves the recognition rates. The method is evaluated on a data set from an experiment containing five activity classes (reading, talking, watching TV, mathematical problem solving, and sawing) of eight participants showing 67% recognition accuracy for eye blinking only and 82% when extended with head motion patterns.
AB - We demonstrate how information about eye blink frequency and head motion patterns derived from Google Glass sensors can be used to distinguish different types of high level activities. While it is well known that eye blink frequency is correlated with user activity, our aim is to show that (1) eye blink frequency data from an unobtrusive, commercial platform which is not a dedicated eye tracker is good enough to be useful and (2) that adding head motion patterns information significantly improves the recognition rates. The method is evaluated on a data set from an experiment containing five activity classes (reading, talking, watching TV, mathematical problem solving, and sawing) of eight participants showing 67% recognition accuracy for eye blinking only and 82% when extended with head motion patterns.
KW - Activity Recognition
KW - Blink Frequency
KW - Google Glass
KW - Head Mounted Sensor
KW - IMU
KW - Infrared Proximity Sensor
UR - http://www.scopus.com/inward/record.url?scp=84899796433&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84899796433&partnerID=8YFLogxK
U2 - 10.1145/2582051.2582066
DO - 10.1145/2582051.2582066
M3 - Conference contribution
AN - SCOPUS:84899796433
SN - 9781450327619
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the 5th Augmented Human International Conference, AH 2014
PB - Association for Computing Machinery
T2 - 5th Augmented Human International Conference, AH 2014
Y2 - 7 March 2014 through 8 March 2014
ER -