Classification of Motion Types and Loads base on Human Motion Measurement
作者: ITO AtsushiBABA RyuzoYAMAZAKI WataruDING MingYOSHIKAWA MasahiroTAKAMATSU JunOGASAWARA Tsukasa
作者单位: 1Nara Institute of Science and Technology (NAIST)
刊名: The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec), 2016, Vol.2016
来源数据库: J-STAGE Journals
DOI: 10.1299/jsmermd.2016.1A2-11b5
关键词: Human motion measurementmotion recognitionloads classification
原始语种摘要: In this paper, we propose a method to recognize the type and load of a measured human motion motion. The operation type can be classified using K-means and the Dynamic Time Warping method. For each type of motion, the apparent load of the motion can also be recognized by calculating the difference of the absolute sum of the angular acceleration vectors. In an experiment, we measured several types of motion to manipulate a box with three different weights. The motion type and the load can be recognized correctly with recognition rate of 83.3% and 89.6%.
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关键词翻译
关键词翻译
  • motion 运动
  • recognition 识别
  • measurement 测量
  • classification 分类