Analysis of the Process of Embodied Knowledge Acquisition Using Near-infrared Spectroscopy

被引:0
|
作者
Watanuki, Keiichi [1 ]
Asaka, Yusuke [2 ]
机构
[1] Saitama Univ, Dept Mech Engn, Grad Sch Sci & Engn, Brain Sci Inst,Inst Ambient Mobil Interfaces,Saku, 255 Shimo Okubo, Saitama 3388570, Japan
[2] Saitama Univ, Grad Sch Sci & Engn, Dept Mech Engn, Sakura Ku, Saitama, Japan
来源
PROCEEDINGS 2012 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) | 2012年
关键词
Embodied knowledge; Skills; Brain activation; Near-infrared spectroscopy (NIRS); WORKING-MEMORY; MECHANISMS;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Analyses of the process of learning embodied control were carried out by observing brain activation during the learning process using near-infrared spectroscopy (NIRS) to find ways to further improve skills. Embodied knowledge is the accumulation of comprehensive learning outcomes such as experience and intuition. Fundamental knowledge is associated with operation methods of converting machineries and procedures for embodied control. Accordingly, acquired memory as an object of the analysis is procedural memory of embodied control. NIRS has the advantages of being portable, low-restraint, continuously monitorable, and it has a higher spatial resolution than other methods. In this study, analyses of brain function during embodied control and learning are reported.
引用
收藏
页码:2693 / 2699
页数:7
相关论文
共 50 条
  • [1] Near-infrared spectroscopy as a tool for driving research
    Liu, Tao
    Pelowski, Matthew
    Pang, Changle
    Zhou, Yuanji
    Cai, Jianfeng
    ERGONOMICS, 2016, 59 (03) : 368 - 379
  • [2] Development of a neurofeedback protocol targeting the frontal pole using near-infrared spectroscopy
    Kinoshita, Akihide
    Takizawa, Ryu
    Yahata, Noriaki
    Homae, Fumitaka
    Hashimoto, Ryuichiro
    Sakakibara, Eisuke
    Kawasaki, Shingo
    Nishimura, Yukika
    Koike, Shinsuke
    Kasai, Kiyoto
    PSYCHIATRY AND CLINICAL NEUROSCIENCES, 2016, 70 (11) : 507 - 516
  • [3] Quantitative Analysis of Near-Infrared Spectroscopy Using the BEST-1DConvNet Model
    Li, Gang
    Deng, Shuangcheng
    PROCESSES, 2024, 12 (02)
  • [4] Analysis of Milk and Dairy Products by Near-Infrared Spectroscopy : A Review
    Wang Tian-zi
    Zheng Li-min
    Tian Li-jun
    Wu Ping
    Zhu Hong
    Ren Fa-zheng
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2010, 30 (12) : 3208 - 3212
  • [5] Assessing Risk of Fumonisin Contamination in Maize Using Near-Infrared Spectroscopy
    Levasseur-Garcia, Cecile
    Bailly, Sylviane
    Kleiber, Didier
    Bailly, Jean-Denis
    JOURNAL OF CHEMISTRY, 2015, 2015
  • [6] Functional Near-Infrared Spectroscopy in HumanRobot Interaction
    Canning, Cody
    Scheutz, Matthias
    JOURNAL OF HUMAN-ROBOT INTERACTION, 2013, 2 (03): : 62 - U111
  • [7] Characterization of Automobile Plastics by Principal Component Analysis and Near-Infrared Spectroscopy
    Zhao, Qinghua
    Chen, Ming
    ANALYTICAL LETTERS, 2015, 48 (02) : 301 - 307
  • [8] Near-infrared spectroscopy (NIRS) analysis of the major components of milk and the development of analysis instrument
    Liu Jingwei
    Ji Zhongpeng
    Tian Mi
    MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL REMOTE SENSING TECHNOLOGY, TECHNIQUES AND APPLICATIONS V, 2014, 9263
  • [9] Research progress of functional near-infrared spectroscopy in patients with psychiatric disorders
    Chang Fan
    Li Haozhe
    Zhang Shengyu
    Chen Chen
    Liu Chao
    Cai Weixiong
    FORENSIC SCIENCES RESEARCH, 2021, 6 (02) : 141 - 147
  • [10] Hemodynamic Changes in Response to Aerobic Exercise: Near-infrared Spectroscopy Study
    Kim, Hee Jin
    Bae, Sujin
    Huh, Jung Hun
    Lee, Jea Woog
    Han, Doug Hyun
    INTERNATIONAL JOURNAL OF SPORTS MEDICINE, 2021, 42 (04) : 377 - 385