Abstract
We have focused on the unconscious movements of participants. Previously, we checked all video off-line to obtain the frequencies of participants’ movement. Although we could discuss the relationship between the subjective ratings of participants and the frequencies of the unconscious movements, we recognized that the visual judgment was too heavy for us to carry out. Thus, in this paper, we installed the body pressure measurement system. First, we analyzed time-series data of participant’s body pressures on the seat during some typical movements. As a result, we found the relationship between the movement types and the characteristics of the COP trajectories. Next, we carried out the driving simulator experiments. When we made a comparison between the frequency with the visual inspection of video images and those counted with the body pressure data, we found that there were some false detections with the analysis of the body pressure data.
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Tatsuno, J., Maeda, S., Sammonds, G., Mansfield, N.: Possibility of automobile seat evaluation with seat fidgets and movements. In: Proceedings of the AHFE 2017 International Conference on Human Factors in Transportation, California, USA, pp. 474–483 (2017)
Tatsuno, J., Maeda, S.: Development of simple detection method of involuntary movements to evaluate human discomfort in vehicle seat. In: Proceedings of the AHFE 2018 International Conference on Human Factors in Transportation, Florida, USA, pp. 857–865 (2018)
Tatsuno, J., Suyama, K., Mitani, H., Nakamura, H., Maeda, S.: Experimental investigation of the relationship between human discomfort and involuntary movements in vehicle seat. In: Proceedings of the AHFE 2019 International Conference on Human Factors in Transportation, Washington D.C., USA, pp. 400–411 (2019)
Sammonds, G.M., Fray, M., Mansfield, N.J.: Effect of long term driving on driver dis-comfort and its relationship with seat fidgets and movements (SFMs). Appl. Ergon. 58, 119–127 (2017)
Fenety, P.A., Putnam, C., Walker, J.M.: In-chair movement: validity, reliability and implications for measuring sitting discomfort. Appl. Ergon. 31(4), 383–393 (2000)
Inagaki, H., Taguchi, T., Yasuda, E., Iizuka, Y.: Evaluation of riding comfort: from the viewpoint of interaction of human body and seat for static, dynamic, long time driving. SAE Trans. 109(Section 6), 960–964 (2000)
Tatsuno, J., Maeda, S.: Driving simulator experiment on ride comfort improvement and low back pain prevention of autonomous car occupants. In: Proceedings of the AHFE 2016 International Conference on Human Factors in Transportation, pp. 511–523 (2016)
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Tatsuno, J., Suyama, K., Nakamura, H., Maeda, S. (2020). Detection and Classification of Unconscious Movements with Body Pressure Distribution Measurement for Ride Comfort Evaluation in Vehicle Seat. In: Stanton, N. (eds) Advances in Human Aspects of Transportation. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1212. Springer, Cham. https://doi.org/10.1007/978-3-030-50943-9_35
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DOI: https://doi.org/10.1007/978-3-030-50943-9_35
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