Beijing Zhigu Rui Tuo Tech Co., Ltd

Tsinghua University

Huawei Technologies Co., Limited

Nokia Corporation

Yuanchun Shi

Chun Yu

Lin Du

Yuntao Wang

Liang Zhang

Kongqiao Wang

Jie Hui Xu

Xuan Zhou

Weijie Xu

Jie Xu

Xin Yi

Weigang Cai

Siju Wu

Jingjin Xu

Lihang Pan

An electronic device configured with a microphone, a voice interaction wake-up method executed by an electronic device equipped with a microphone, and a computer-readable medium, the electronic device comprising a memory and a central processing unit, wherein the memory stores computer-executable instructions, and when executed by the central processing unit, the computer-executable instructions perform the following operations: analyzing a sound signal collected by a microphone, identifying whether the sound signal contains speech spoken by a person and whether it contains wind noise sounds generated by airflows hitting the microphone as a result of the speech spoken by the person, and in response to determining that the sound signal contains sound spoken by the person and contains wind noise sounds generated by airflows hitting the microphone as a result of the speech spoken by the user, processing the sound signal as speech input by the user. The solution disclosed in the present application is applicable to performing voice input when a user carries an intelligent electronic device, and the operation is natural and simple, simplifying the steps of voice input, reducing the burden and difficulty of interaction, and making the interaction more natural.

Voice interactive wakeup electronic device and method based on microphone signal, and medium

An interaction method triggered by a mouth-covering gesture and an intelligent electronic device are provided. The interaction method is applied to an intelligent electronic device arranged with a sensor. The intelligent electronic device includes a sensor system for capturing a signal of a user putting one hand on a mouth to make a mouth-covering gesture. The interaction method includes: processing the signal to determine whether the user puts the hand on the mouth to make the mouth-covering gesture; and in a case that the user puts the hand on the mouth to make the mouth-covering gesture, determining a mouth-covering gesture input mode as an input mode for controlling an interaction to trigger a control command or trigger another input mode, by executing a program on the intelligent electronic device.

Voice interaction wakeup electronic device, method and medium based on mouth-covering action recognition

A control method is provided, including: obtaining input information, where the input information includes a capacitance signal and report point coordinates generated when a user performs an operation on a terminal screen; using report point coordinates in a previous frame as report point coordinates in a current frame if it is determined that a capacitance signal in the current frame and a capacitance signal in the previous frame that are in the input information meet a preset condition; or using report point coordinates in a previous frame as report point coordinates in a current frame if it is determined that the report point coordinates in the current frame and report point coordinates in a first frame that are in the input information meet a preset condition.

Control method and terminal

The present application provides methods and devices for determining an action or an action part, and generally relates to the field of wearable devices. A method disclosed herein comprises: in response to detecting a motion of a first part of a body of a user, acquiring, using a photoelectric sensor, target Doppler measurement information of the first part or a second part corresponding to the first part; determining target velocity related information corresponding to the target Doppler measurement information; and determining the first part or the action according to the target velocity related information and reference information, wherein the target velocity related information comprises target blood flow velocity information or target blood flow information. The methods and devices provide a new scheme for recognizing an action and/or an action part.

Method and device for determining action or action part

The present application provides methods and devices for determining an action and/or an action part, and generally relates to the field of wearable devices. A method disclosed herein comprises: in response to that a first part on a body of a user executes an action, acquiring target blood flow information of the first part or a second part corresponding to the first part; and determining the first part and/or the action according to the target blood flow information and reference information. The methods and devices provide a new scheme for recognizing an action and/or an action part.

Method and device for determining action and/or action part

Embodiments of the present application disclose a human body-based interaction method and interaction apparatus. The method includes: acquiring phase change information of a second signal; the second signal being formed by a first signal through transmission of at least one transmission medium, the at least one transmission medium including the body of a user; and according to a first corresponding relationship between at least one phase change information and at least one motion and/or posture information of the user, determining motion and/or posture information of the user corresponding to the phase change information. At least one example embodiment of the present application determines motion and/or posture information of a user merely by using phase change information of a signal transmitted through the user's body, so that determination of the motion and/or posture information of the user is more convenient and accurate.

Human body-based interaction method and interaction apparatus

The present application provides methods and devices for determining input information, and generally relates to the field of wearable devices. A method disclosed herein comprises: in response to a first part of a body of a user executing an action, acquiring target blood-flow information about the first part or a second part that corresponds to the first part; and determining input information according to the target blood-flow information and reference information. According to the methods and devices, the body of the user is used as an input interface, thus cause an interaction area to be increased, which helps to improve input efficiency and user experience.

Method and device for determining input information

The present application provides methods and devices for determining an action and/or an action part, and generally relates to the field of wearable devices. A method disclosed herein comprises: in response to that a first part on a body of a user executes an action, acquiring target blood flow information of the first part or a second part corresponding to the first part; and determining the first part and/or the action according to the target blood flow information and reference information. The methods and devices disclosed provide a new scheme for recognizing an action and/or an action part.

The present application provides a method and device for determining input information, and relates to the field of a wearable device. The method comprises in response to a first part of a body of a user executing an action, acquiring target blood-flow information about the first part or a second part that corresponds to the first part; and determining input information according to the target blood-flow information and reference information. According to the method and device, the body of the user is used as an input interface, to cause an interaction area to be increased, which helps to improve input efficiency and user experience.

A system and method for using images captured from a digital camera to control navigation through a three-dimensional user interface. The sequence of images may be examined to identify feature points to be tracked through successive frames of the images captured by the camera. A plurality of classifiers may be used to discern shift from rotation gestures, based on expected behavior of feature points in the image when the camera is shifted or rotated in position. The various classifiers may generate voting values for shift and rotation gestures, and the system can use historical gesture information to assist in categorizing a current gesture.

Growing community of inventors

Beijing, China

Yuanchun Shi