Huawei Technologies Co., Limited

Chenhe Li

Wei Li

Qiang Xu

Jun Li

Gaganpreet Singh

Junwei Sun

Jin Tang

Ghazaleh Saniee-Monfared

Thu Ha Trinh

Marcello Giordano

Siwen Yang

Vijaya Krishna Mulpuri

Zhou Xuan

Xiaoliang Li

Wireless sensing units, methods, systems, and processor-readable media for obtaining pressure data relating to one or more pressure locations of a surface area are described. A wireless sensing system includes a pressure monitoring device communicating with modular wireless smart floor tiles using RFID, either using an RFID reader or wireless network interface (e.g., 802.11). The tiles incorporate passive or active RFID tags. The tiles can be powered wirelessly, e.g. by a built-in piezoelectric power unit or by a wireless power source using magnetic resonance. A data capture circuit in each tile collects and saves the data for transmission to the floor pressure monitoring device. Various software applications can be enabled by the smart floor system, including fall detection and prediction, gesture input, intrusion detection, and user location tracking for smart home automation.

Wireless sensing units, systems, methods, and media

System and method for managing a user interface for a foldable device are disclosed. The method includes: determining a folding state of the foldable device based on a folding angle of the foldable device; detecting an input gesture on one or more touch-sensitive display segments of a flexible display screen of a foldable device; determining a gesture type corresponding to the detected input gesture; determining whether the detected input gesture is a valid gesture or invalid gesture; and responsive to determining that the detected input gesture is a valid gesture, providing the gesture type corresponding to the detected gesture, the folding state of the foldable device, and display information to a software application or an operating system of the foldable device.

Method and system for processing gestures detected on a display screen of a foldable device

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.

Systems and methods for gaze prediction on touch-enabled devices using touch interactions

A touch input tool for interacting with a capacitive touchscreen display. The touch input tool includes a plurality of spaced apart conductive touchscreen touch elements arranged to simultaneously operatively engage a screen of the touchscreen display at a corresponding plurality of discrete respective touch locations.

Touch input tool and system

A method and system including sensing a touch event on a touchscreen display of an electronic device, and changing a display layout rendered on the touchscreen display in response to determining that the touch event matches a stylus shaft gesture that corresponds to interaction of the stylus shaft with the touchscreen display. The stylus shaft may be located between a first end and a second end of a stylus.

Using a stylus to modify display layout of touchscreen displays

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Markham, Canada

Chenhe Li