The Japanese Journal of Ergonomics
Online ISSN : 1884-2844
Print ISSN : 0549-4974
ISSN-L : 0549-4974
Volume 49, Issue 1
Displaying 1-16 of 16 articles from this issue
Contribution
  • -using Independent Component Analysis and Support Vector Machine
    Hidenori BOUTANI, Mieko OHSUGA
    2013 Volume 49 Issue 1 Pages 1-9
    Published: February 15, 2013
    Released on J-STAGE: June 19, 2013
    JOURNAL FREE ACCESS
    This paper proposes a method to discriminate between different types of hand and arm motions by applying independent component analysis (ICA) to integrated surface electromyograms (IEMGs). Independent components corresponding to the motions can be derived from the data set of the IEMGs that are measured while a participant performs finite motions sequentially and repeatedly. Then, the obtained unmixing matrix is applied to a new data set of the IEMGs to be classified; the independent components are then calculated. The motion corresponding to the component with the maximum amplitude is determined. The successful derivation of the components corresponding to the respective motions depends on whether the participant can repeat the same motions. A support vector machine (SVM) was also introduced to improve the discrimination performance. Experiments were performed to assess the suggested method, using ten healthy adult participants. As a result, the average correct discrimination rate obtained for each participant ranged from 65.0% to 88.6% when only ICA was applied and ranged from 94.3% to 99.6% after the SVM was introduced. Even if the SVM trained by the data sets obtained from other participants was applied, high correct discrimination rates were obtained.
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  • Tadao MAKIZUKA, Masaharu KUMASHIRO
    2013 Volume 49 Issue 1 Pages 10-17
    Published: February 15, 2013
    Released on J-STAGE: June 19, 2013
    JOURNAL FREE ACCESS
    We measured the fingertip movement ability for 0~10, 10~20 and 20~30 sec. on the third digit of the right hand using a tapping tester with 351 non-office workers as subjects, mostly males aged 50~69. We also conducted interviews concerning the manual dexterity of the test subjects during their boyhood, and their middle-aged and older period, based on a self-assessment. There was a significant relation between tapping values and ages, but the correlation coefficient was not strong. This suggests the fingertip movement ability for non-office laborers 50~69 years old was not influenced by age. We conducted a cluster analysis of the tapping scores and extracted four clusters. As a result, four types ranging from groups with high scores to low scores were clearly identified. Further, an ANOVA was conducted for tapping scores by self-assessment, and there were significant scores for the 0~10 sec. range and the 10~20 sec. range (p<0.05). This suggests that the manual dexterity level based on self-assessment can be estimated to some extent by the tapping score. Further, 48.7% of the subjects answered that manual dexterity based on self-assessment changed by middle-to old age, and 84.8% of those answered that it declined.
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  • Jinglong WU, Yinghua YU, Jiajia YANG
    2013 Volume 49 Issue 1 Pages 18-24
    Published: February 15, 2013
    Released on J-STAGE: June 19, 2013
    JOURNAL FREE ACCESS
    In this paper, the effects of stimulus eccentricity and luminance on linear vection (LV) were examined with healthy young subjects. Five kinds of blue sine-wave patterns with different spatial frequencies (0.023, 0.037, 0.057, 0.090, 0.141 cycle/deg) were used, and six luminance conditions were modulated respectively of the central and peripheral vision field. The results show that LV is affected by high luminance in central vision field when the spatial frequency is from 0.037 to 0.057 cycle/deg while it does not depend on peripheral vision luminance in any spatial frequencies used in this study.
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Ergonomic data
  • Satoshi SUZUKI, Keitaro SUGAWARA, Takemi MATSUI, Takafumi ASAO, Kentar ...
    2013 Volume 49 Issue 1 Pages 25-31
    Published: February 15, 2013
    Released on J-STAGE: June 19, 2013
    JOURNAL FREE ACCESS
    The present study examines relationships between changes in arousal and the component characteristics of respiration to determine whether the components could serve as an index of changes in arousal while driving. A steering operation task during simulated car driving was conducted for 40 minutes under controlled sleep durations and mealtimes. We monitored changes in the power spectrum of alpha-waves in brain waves and the usual indices of respiration such as respiratory variation, the Timing and the Driving. Moreover, alternative indices to assumed minute ventilation volume and the timing of maximum inspiratory flow were calculated. We found that respiratory rates decreased with decreasing arousal. We also confirmed a relationship between the appearance ratio of alpha waves and the timing of maximum inspiratory flow (r=0.65). Although individual differences in results varied among some participants, a change in arousal was associated with the component characteristics of respiration. Information about respiration is usually regarded as incidental in studies of arousal. However, the present results show that respiration can be an important indicator of change in arousal.
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