公开(公告)号：KR1020140083848A

公开(公告)日：2014-07-04

申请号：KR1020130047214

申请日：2013-04-29

Applicant: 전남대학교산학협력단

Inventor： 이칠우 ,  이용철

IPC: H04B1/40

CPC classification number: H04M1/72569 ,  H04M2250/12

Abstract: The present invention relates to a motion gesture recognition method and apparatus using sensor information in a user device which has a limited environment such as a smart phone. In particular, a method is provided which generates observation information using motion data generated while the user moves and measured by using acceleration, magnetic field, and gyro sensors embedded in the smart phone, and learns and recognizes gestures using a Hidden Markov Model (HMM). According to the method, various input signals can be generated by compensating individually or mutually for various embedded sensors, and a result sensitive to basic motions can be obtained through a quantization scheme that a rectangular coordinate is converted into a spherical coordinate. Furthermore, when the learning and recognizing process is performed by using motion data of the user, intuitive and individual gestures for each user can be registered and used.

Abstract translation: 本发明涉及一种运动手势识别方法和装置，其在诸如智能电话之类的有限环境的用户装置中使用传感器信息。 特别地，提供一种使用通过使用嵌入在智能电话中的加速度，磁场和陀螺仪传感器移动和测量时产生的运动数据生成观察信息的方法，并使用隐马尔可夫模型（HMM）学习和识别手势， 。 根据该方法，可以通过针对各种嵌入式传感器单独地或相互补偿来生成各种输入信号，并且可以通过将矩形坐标转换为球坐标的量化方案来获得对基本运动敏感的结果。 此外，当通过使用用户的运动数据来执行学习和识别处理时，可以注册和使用每个用户的直观和个体手势。