Electronics and Telecommunications Research Institute

Sk Telecom Company, Ltd.

Yun Koo Chung

Jae Yeon Lee

Jae Hong Kim

Joo Chan Sohn

Su Young Chi

Kye Kyung Kim

Sang Seung Kang

Chan Kyu Park

Dae Ha Lee

Hye Jin Kim

Ho Sub Yoon

Min Su Jang

Won Pil Yu

Mun Sung Han

Byung Tae Chun

Kyu Seo Han

Hyeon Sung Cho

Cheon Shu Park

Hyoung Gu Lee

Soo Hyun Cho

Do-Hyung Kim

Chieteuk Ahn

Jong-Hyun Park

Jae Il Cho

Woo Han Yun

Jae-Yeong Lee

Yongwha Chung

Jung Soh

Young Woo Yoon

Suyoung Chi

Dong-Jin Lee

Wonpil Yu

Kyu Dae Ban

Young Sup Hwang

An apparatus for recognizing a user's posture in a horse-riding simulator, the apparatus comprising: a standard posture model generation module configured to find out a standard posture model by selecting feature points from an expert database, and generate the standard posture model; and a posture recognizing module configured to obtain a user's posture from the horse-riding simulator, recognize a user's horse-riding posture by matching the obtained user's posture with the standard posture model generated in the standard posture model generation module, and suggest a standard posture model appropriate for a user's level.

Apparatus and method for recognizing user's posture in horse-riding simulator

Disclosed is a typewriter system and a text input method capable of accurately recognizing words by correcting words input using a mediated interface device based on a dictionary. A plurality of texts are combined by referencing a text recognition order set in which recognition results of texts are arranged according to a recognition order from texts input through the mediated interface device and the combined text is filtered using part index maps formed of part words that are an accumulated set of texts forming complete words. The part words passing through the part index maps is again filtered using a dictionary including context information formed of a set of words in a specific category, thereby making it possible to accurately recognize the words. The part words that cannot form words in a dictionary are removed in advance using the part index maps, thereby improving the recognition efficiency.

Typewriter system and text input method using mediated interface device

Disclosed is a method of detecting an upper body. The method includes detecting an omega candidate area including a shape formed of a face and a shoulder line of a human from a target image, cutting the target image into the upper body candidate area including the omega candidate area, detecting a human face from the upper body candidate area, and judging whether the upper body of the human is included in the target image according to the result of detecting the human face.

Apparatus and method for detecting upper body

Disclosed are an apparatus and a method for sensing photoplethysmogram and fall. According to the present invention, the apparatus and for sensing photoplethysmogram and fall may include: a sensor unit that senses acceleration and photoplethysmogram; a photoplethysmogram/fall determining module that synthetically tests sensed acceleration signals and photoplethysmogram signals sensed by the sensor unit to determine whether emergency occurs due to fall or emergency occurs due to photoplethysmogram; and a communication module that transmits the test results.

Apparatus and method for sensing photoplethysmogram and fall

Provided are a thimble-type intermediation device and a method for recognizing a finger gesture using the same. The thimble-type intermediation device includes: a motion sensing unit sensing a motion of a user's finger and generating the sensed result as motion data; a tactile sensing block sensing a tactile behavior of the user's finger and generating the sensed result as tactile data; a control unit recognizing the gesture and tactile behavior of the user's finger on the basis of the generated motion data and tactile data, and outputting the recognition result as recognition result information; and a wireless communication unit transmitting the recognition result information to a robot system.

Thimble-type intermediation device and method for recognizing finger gesture using the same

A method for generating a safe path of a mobile robot includes searching for a whole path from a starting point to a destination point within a map information entered in the robot; extracting information about an expected distance between the robot and a peripheral obstacle when the robot moves along the searched whole path; and correcting the whole path locally using the information about the expected distance from the peripheral obstacle.

Method and apparatus for generating safe path of mobile robot

In a method for motion estimation using adaptive patterns in a video sequence compression system, an initial search pattern located at a center of a search window in a block of a video frame is determined. A location of a minimum block distortion measure (BDM) is searched in the initial search pattern. A horizontal search pattern for functioning on the search window is determined in the horizontal direction to search a location of a minimum BDM in the horizontal search pattern. A vertical search pattern for operating on the search window is determined in the vertical direction to search a location of a minimum BDM in the vertical search pattern. The location of the minimum BDM in each pattern is designated to be a motion vector. A search pattern to be used in a subsequent searching stage is determined based on the location of the minimum BDM in each pattern.

Method and apparatus for motion estimation using adaptive search pattern for video sequence compression

In an apparatus for online signature verification, a signature data input unit digitalizes a locus of a user signature and reads the locus as a sequence of points. A first and a second pattern transform unit performs a speed equalization and a velocity transform on the signature sequence and generates a first and a second transformed pattern sequence, respectively. A characteristics extraction unit extracts three characteristics vectors from the signature sequence, the first and the second transformed pattern sequence, respectively, to thereby generate the three characteristics vectors. A difference vector estimation unit generates a difference vector. A determination unit determines whether an input signature and the reference signature are signed by a single person.

Apparatus for online signature verification using pattern transform technique and method therefor

Disclosed is a method of segmenting handwritten touching numeral strings having a non-vertical segmentation line. The method comprises the steps of: receiving an image of the handwritten touching numeral strings having the non-vertical segmentation line extracted from a specially patterned document; smoothing an uneven shape of the image of handwritten touching numeral strings; searching a contour line for the image of smoothed handwritten touching numeral strings; searching a candidate segmentation region, in which the touching numeral strings may exist, from the searched contour line; searching a candidate segmentation point within the candidate segmentation region; searching a vertical segmentation line for segmenting the handwritten touching numeral strings from the candidate segmentation point; searching the non-vertical segmentation line for segmenting the handwritten touching numeral strings having any inclination from the candidate segmentation lines; and segmenting the handwritten touching numeral strings by use of the vertical and non-vertical segmentation lines.

Method of segmenting handwritten touching numeral strings having non-vertical segmentation line

Disclosed is a method of segmenting touching numeral strings contained in handwritten touching numeral strings, and recognizing the numeral strings by use of feature information and recognized results provided by inherent structure of digits. The method comprises the steps of: receiving a handwritten numeral string extracted from a pattern document; smoothing a curved numeral image of the handwritten numeral string, and searching connecting components in the numeral image; determining whether or not the numeral string is a touching numeral string; if it is determined that the numeral string is the touching numeral string, searching a contour of the touching numeral string image; searching candidate segmentation points in the contour, and segmenting sub-images; computing a segmentation confidence value on each segmented sub-image by use of a segmentation error function to select the sub-image with the highest segmentation confidence value as a segmented numeral image in the touching numeral string image; if it is determined in the step c that the numeral string is not the touching numeral string, extracting a feature to recognize the segmented numeral image; segmenting the numeral image selected from the touching numeral string in the highest segmenting confidence value; and obtaining remaining numeral string image.

Method for segmentation-based recognizing handwritten touching numeral strings

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Daejeon, South Korea

Yun Koo Chung