Vtouch Co., Ltd.

Qualcomm Incorporated

Chunghoon Kim

Seokjoong Kim

So Yeon Kim

Kyu Woong Hwang

Hyung-Il Koo

Beomho Lee

Disclosed are a method and an apparatus for accurately detecting a gesture from a user's motion using a user-based spatial coordinate system. A method for detecting a gesture in a user-based spatial coordinate system comprises the steps of: setting a user-based spatial coordinate system using a first body coordinate corresponding to a first body part of the user as a starting point; analyzing the motion vector state of a second body coordinate corresponding to a second body part of the user in the user-based spatial coordinate system over time; and detecting the user's gesture on the basis of a change in the motion vector state.

Method and apparatus for detecting gesture in user-based spatial coordinate system

A control method for allowing a user to specify an electronic device and switch it to a speech recognition mode is provided. With the optimum control method and the electronic device utilizing the method, a voice command may be transmitted to the electronic device more quickly and effectively regardless of the circumstances, and the electronic device may be specified through gesture recognition to enable transmission of the voice command, so that the voice command may be effectively executed without needing a user to learn or memorize a name or the like of the electronic device in advance for speech recognition. Further, it is possible to more accurately recognize a gesture that is a preliminary step for transmitting a voice command to the electronic device, thereby improving the recognition rate and preventing malfunction.

Optimum control method based on multi-mode command of operation-voice, and electronic device to which same is applied

A method for detecting a text region in an image is disclosed. The method includes detecting a candidate text region from an input image. A set of oriented gradient images is generated from the candidate text region, and one or more detection window images of the candidate text region are captured. A sum of oriented gradients is then calculated for a region in one of the oriented gradient images. It is classified whether each detection window image contains text by comparing the associated sum of oriented gradients and a threshold. Based on the classifications of the detection window images, it is determined whether the candidate text region is a true text region.

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Seongnam-si, South Korea

Chunghoon Kim