公开(公告)号：US20180006840A1

公开(公告)日：2018-01-04

申请号：US15540808

申请日：2016-09-05

Applicant: Goertek Inc.

Inventor： Pengcheng SU ,  Fuli XIE

IPC: H04L12/28 ,  G06F3/01

CPC classification number: H04L12/2816 ,  G06F1/163 ,  G06F1/1694 ,  G06F3/017 ,  H04L12/2807 ,  H04L12/2809 ,  H04L12/282 ,  H04L12/2832 ,  H04L2012/2841 ,  H04L2012/285

Abstract: A wearable device and a controlling method thereof, and a system for controlling a smart home. The wearable device comprises: a hand gesture identifying module, for by characteristic data to be identified of a wearer that is collected by a sensor, identifying out a current hand gesture action of the wearer; an appliance configuring module, for according to acquired information of each of household electrical appliances, establishing and saving correspondence relations between controlling commands of each of the household electrical appliances and corresponding hand gesture actions; and upon receiving the hand gesture action, looking up the household electrical appliance and the controlling command that match the hand gesture action by using the correspondence relations, generating a controlling message according to the matched information; a wirelessly connecting module, for receiving the controlling message and wirelessly sending the controlling message to a smart home controlling server.

公开(公告)号：US20180004208A1

公开(公告)日：2018-01-04

申请号：US15537117

申请日：2016-09-05

Applicant: Goertek Inc.

Inventor： Pengcheng SU

IPC: G05D1/02 ,  B62D57/032

CPC classification number: G05D1/021 ,  B25J5/00 ,  B62D57/032 ,  G05D1/02

Abstract: A method and a device for controlling a gait of a biped robot. The method includes: selecting gait controlling parameters, and acquiring a movement trajectory of a center of mass when a zero moment point of the biped robot is located within a steady area; obtaining first numerical values of each of the gait controlling parameters of the center of mass and second numerical values of the center of mass; setting a first constraint condition when the step starting phase ends by using the first numerical values, and setting a second constraint condition when the step ending phase starts by using the second numerical values; calculating the movement trajectories of the center of mass in the step starting phase and the step ending phase on the basis of the first constraint condition and the second constraint condition, respectively; and controlling a walking of the biped robot.

公开(公告)号：US20180024798A1

公开(公告)日：2018-01-25

申请号：US15531633

申请日：2016-07-04

Applicant: Goertek Inc.

Inventor： Guomin ZOU ,  Yifan ZHANG ,  Pengcheng SU

IPC: G06F3/14 ,  G09G3/34

CPC classification number: G06F3/14 ,  G09G3/2092 ,  G09G3/34 ,  G09G5/028 ,  G09G2340/08

Abstract: A method and a device for a black and white screen display based on an Android platform, and a smart terminal are disclosed. The method comprising: selecting a size of the black and white screen according to an image display size that is generated in the Android platform, so that the image display size is adapted to the size of the black and white screen; acquiring Android display data that are generated in the Android platform; individually converting the Android display data that are corresponding to each of pixels into black and white display data that are corresponding to each of the pixels; buffering the converted black and white display data into a queue, extracting the data from the queue by using a preset real-time process and outputting to a data interface of the black and white screen according to a preset frame rate; and displaying the black and white display data that are corresponding to each of the pixels on the black and white screen.

公开(公告)号：US20190209050A1

公开(公告)日：2019-07-11

申请号：US16327173

申请日：2017-07-13

Applicant: Goertek Inc.

Inventor： Pengcheng SU ,  Yifan ZHANG

IPC: A61B5/11 ,  A61B5/00 ,  A63B24/00

CPC classification number: A61B5/1123 ,  A61B5/11 ,  A61B5/1121 ,  A61B5/7246 ,  A61B5/7267 ,  A61B2503/10 ,  A61B2562/0219 ,  A63B24/0062 ,  A63B71/06 ,  A63B2024/0068 ,  A63B2220/44 ,  A63B2220/836 ,  A63B2244/20

Abstract: A wearable device and a method for monitoring a movement state by using the same are disclosed. A sensor is provided in the wearable device. The method comprises: controlling the sensor to collect movement data of a user when a monitoring process starts; extracting one or more features for identifying the movement state of the user from the movement data to obtain test data; and matching the test data with stored template data representing predetermined movement states, to obtain template data that successfully match the test data, and determining occurrence of a movement state corresponding to the matched template data associated with the test data.

公开(公告)号：US20170357848A1

公开(公告)日：2017-12-14

申请号：US15541234

申请日：2016-09-09

Applicant: GOERTEK INC.

Inventor： Pengcheng SU

IPC: G06K9/00 ,  G06K9/62 ,  G06F3/01

CPC classification number: G06K9/00335 ,  G06F3/011 ,  G06F3/017 ,  G06K9/0051 ,  G06K9/00523 ,  G06K9/6202 ,  G06K9/6215 ,  G06K9/6228

Abstract: The present disclosure provides a method for recognizing a human motion, a method for recognizing a user action and a smart terminal. The method for human motion recognition comprises: collecting human motion data to train to obtain a feature extraction parameter and a template data sequence; in one human motion recognition, collecting data for performing human motion recognition to obtain an original data sequence; using the feature extraction parameter to perform feature extraction on the original data sequence, reducing the number of data dimensions of the original data sequence, and obtaining a test data sequence after the dimension reduction; matching the test data sequence with the template data sequence, and confirming that a human motion corresponding to the template data sequence associated with the test data sequence occurs when a successfully-matched test data sequence exists. By performing dimension reduction on the test data sequence, the present disclosure lowers requirements for human motion postures and cancels noise, then matches the data after the dimension reduction with the template, realizes accurate recognition of human motions while reducing the computing complexity, and improves the user experience.