Improved Capsule Network for Gaze Estimation in Wireless Sensor Networks

Luo, Mingyuan and Liu, Xi and Wang, Wei and Huang, Wei (2019) Improved Capsule Network for Gaze Estimation in Wireless Sensor Networks. In: Mobimedia 2019, 29-30 Oct 2019, Wehai, China.

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In this study, aiming at the problem of gaze estimation in the wireless sensor network in the car, we use image-based method to estimate gaze based on the single camera sensor. We use the deep learning model and propose the improved model from three aspects based on the original capsule network. The first is to increase the convolution layer, the second is to increase the capsule layer, and the third is to widen the capsule layer in the network. Through many contrast experiments, it is proved that the appropriate use of the first or second improved method can achieve performance over other comparison models, and the prediction results of gaze estimation are almost no different from the real gaze direction.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: gaze estimation capsule network multi-layer capsule network
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor I.
Date Deposited: 10 Sep 2020 15:07
Last Modified: 10 Sep 2020 15:07

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