TY - GEN
T1 - A Novel Gaze Gesture Sensor for Smart Glasses Based on Laser Self-Mixing
AU - Meyer, Johannes
AU - Schlebusch, Thomas
AU - Spruit, Hans
AU - Hellmig, Jochen
AU - Kasneci, Enkelejda
N1 - Publisher Copyright:
© 2021 ACM.
PY - 2021/5/8
Y1 - 2021/5/8
N2 - The integration of gaze gesture sensors in next-generation smart glasses will improve usability and enable new interaction concepts. However, consumer smart glasses place additional requirements to gaze gesture sensors, such as a low power consumption, high integration capability and robustness to ambient illumination. We propose a novel gaze gesture sensor based on laser feedback interferometry (LFI), which is capable to measure the rotational velocity of the eye as well as the sensor's distance towards the eye. This sensor delivers a unique and novel set of features with an outstanding sample rate allowing to not only predict a gaze gesture but also to anticipate it. To take full advantage of the unique sensor features and the high sampling rate, we propose a novel gaze symbol classification algorithm based on single sample. At a mean F1-score of 93.44 %, our algorithms shows exceptional classification performance.
AB - The integration of gaze gesture sensors in next-generation smart glasses will improve usability and enable new interaction concepts. However, consumer smart glasses place additional requirements to gaze gesture sensors, such as a low power consumption, high integration capability and robustness to ambient illumination. We propose a novel gaze gesture sensor based on laser feedback interferometry (LFI), which is capable to measure the rotational velocity of the eye as well as the sensor's distance towards the eye. This sensor delivers a unique and novel set of features with an outstanding sample rate allowing to not only predict a gaze gesture but also to anticipate it. To take full advantage of the unique sensor features and the high sampling rate, we propose a novel gaze symbol classification algorithm based on single sample. At a mean F1-score of 93.44 %, our algorithms shows exceptional classification performance.
KW - gaze interaction
KW - laser feedback interferometry (LFI) sensor
KW - smart glasses interaction
UR - http://www.scopus.com/inward/record.url?scp=85105783917&partnerID=8YFLogxK
U2 - 10.1145/3411763.3451621
DO - 10.1145/3411763.3451621
M3 - Conference contribution
AN - SCOPUS:85105783917
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, CHI EA 2021
PB - Association for Computing Machinery
T2 - 2021 CHI Conference on Human Factors in Computing Systems: Making Waves, Combining Strengths, CHI EA 2021
Y2 - 8 May 2021 through 13 May 2021
ER -