Huawei Technologies Co., Limited

Vijaya Krishna Mulpuri

Wei Li

Qiang Xu

Chenhe Li

Xiaoliang Li

Systems and method for low-power gaze prediction on touch-enabled electronic devices using touch interactions are provided. The method includes receiving an input touch interaction applied to a touch interaction area on a touchscreen display of a touch-enabled device and obtaining, by a gaze prediction module, a predicted gazing area on the touchscreen display based on the input touch interaction. A touch-enabled device has a processor, a touchscreen display and memory storing instructions to carry out the method. The gaze prediction module may utilize a model based on Bayesian inference or convolutional neural networks. Advantageously, gaze prediction is achieved without the use of image-capturing devices and with low power consumption. This can be used to develop intelligent hands-free interactions and personalized recommendation systems.

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Aurora, Canada

Vijaya Krishna Mulpuri