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., 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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