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Zhang Haiping

Publications -  514
Citations -  2836

Zhang Haiping is an academic researcher. The author has contributed to research in topics: Terminal (electronics) & Fingerprint (computing). The author has an hindex of 18, co-authored 514 publications receiving 2836 citations.

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Patent

Method and apparatus for stimulating gesture motion trajectory on screen

Zhang Haiping, +1 more
TL;DR: In this paper, the authors present a method and an apparatus for stimulating a gesture motion trajectory on a screen using an ultrasonic sensor in a terminal, which can be used to identify the movement trajectory of the gesture and the effect of improving user experience.
Patent

Panel, sensor component and mobile terminal

Zhang Haiping, +1 more
TL;DR: In this paper, the authors provided a panel, a sensor component and a mobile terminal, which consisted of a cover plate, a first adhesive layer and a second adhesive layer which are arranged at one side of the cover plate and a receiver through hole.
Patent

Camera module and electronic device

TL;DR: In this article, a camera module and an electronic device are described, where the camera module comprises two lens modules, each lens module comprises an image sensor, and each image sensor comprises a pixel array and a control circuit.
Patent

Iris information acquisition method and acquisition system

TL;DR: In this paper, an iris information acquisition method and acquisition system are applied to a terminal device, which includes the following steps that: the acquisition range of the terminal device is scanned, so that whether a human body appears in the acquisition ranges can be judged; when a person appears in an acquisition range, a shooting angle is adjusted, and feature points are extracted from the iris image; whether the feature points in the image are clear or not is judged.
Patent

Dietary recommendation method and apparatus

Zhang Haiping, +1 more
TL;DR: In this article, a dietary recommendation method and apparatus was proposed for restaurants and dietary and restaurant recommendation based on the physical status information of the user and the terminal location information, which can be implemented through comprehensive consideration of both the user's physical status and restaurant's location information.