Archive and instruction of the hand motion: Analysis and evaluation of the hand motion in use of chopsticks

被引:0
|
作者
Kinoshita, Yu [1 ]
Takeda, Daisuke [1 ]
Sasaki, Akinori [1 ]
Hashimoto, Hiroshi [1 ]
机构
[1] Tokyo Univ Technol, Dept Bion, Tokyo, Japan
关键词
hand motion; dexterous techniques; statistical method; evaluation of motion; chopsticks;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The purpose of this paper is to discuss how to evaluate the complicated human hand motion. The advantages of this evaluation method are it doesn't depend on the hand size and its form and makes the hand motion classified even if having a little difference which is incomprehensible by appearances. The data of the hand motion is measured by CyberGlove and its characteristic values are obtained based on the statistical method. The characteristic values of the hand motion are the one-dimensional data gathered with the Principal Component Analysis (PCA) from the angle data measured and the quantity of the movement. The hand motion is evaluated from the characteristic values by the terms of 'accuracy', 'repeatability' and 'efficiency'. The effectiveness of the proposed evaluation is shown through the experiments of using chopsticks.
引用
收藏
页码:5260 / +
页数:2
相关论文
共 50 条
  • [21] Evaluation of Technical Performance of Ultrasound-Guided Procedures through Hand Motion Analysis: An Exploration of Motion Metrics
    Weinstein, Jeffrey L.
    Ali, Hamza
    Sarwar, Ammar
    Dadour, Joseph R.
    Brook, Olga R.
    Mitchell, John D.
    Matyal, Robina
    Palmer, Matthew R.
    MacLellan, Christopher
    Ahmed, Muneeb
    JOURNAL OF VASCULAR AND INTERVENTIONAL RADIOLOGY, 2023, 34 (08) : 1337 - 1344
  • [22] Evaluation of a multi-sensor Leap Motion setup for biomechanical motion capture of the hand
    Houston, Andrew
    Walters, Vanessa
    Corbett, Thomas
    Coppack, Russell
    Journal of Biomechanics, 2021, 127
  • [23] Objective Evaluation of Hand ROM and Motion Quality based on Motion Capture and Brunnstrom Scale
    Liu, Yaojie
    Liu, Juan
    Ai, Ling
    Wei, Qin
    Liu, Quan
    Xie, Shane
    2019 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM), 2019, : 441 - 446
  • [24] Evaluation of a multi-sensor Leap Motion setup for biomechanical motion capture of the hand
    Houston, Andrew
    Walters, Vanessa
    Corbett, Thomas
    Coppack, Russell
    JOURNAL OF BIOMECHANICS, 2021, 127
  • [25] A Visual Hand Motion Detection Algorithm for Wheelchair Motion
    Luhandjula, T.
    Djouani, K.
    Hamam, Y.
    van Wyk, B. J.
    Williams, Q.
    HUMAN-COMPUTER SYSTEMS INTERACTION: BACKGROUNDS AND APPLICATIONS 2, PT 1, 2012, 98 : 433 - +
  • [26] Kinematic Hand Analysis Using Motion Capture Technology
    Pablo Angel-Lopez, Juan
    Arzola de la Pena, Nelson
    VI LATIN AMERICAN CONGRESS ON BIOMEDICAL ENGINEERING (CLAIB 2014), 2014, 49 : 257 - 260
  • [27] Hand motion oscillatory gestures and multimodal discourse analysis
    Xiong, Yingen
    Quek, Francis
    INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION, 2006, 21 (03) : 285 - 312
  • [28] Tracking articulated hand motion with eigen dynamics analysis
    Zhou, HN
    Huang, TS
    NINTH IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION, VOLS I AND II, PROCEEDINGS, 2003, : 1102 - 1109
  • [29] A Wireless Hand Grip Device for Motion and Force Analysis
    Becerra, Victor
    Perales, Francisco J.
    Roca, Miquel
    Buades, Jose M.
    Miro-Julia, Margaret
    APPLIED SCIENCES-BASEL, 2021, 11 (13):
  • [30] Analysis of collective behavior and grasp motion in human hand
    Park, Jongwoo
    Cheong, Joono
    INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2010), 2010, : 2514 - 2518