Detection and Classification of Unconscious Movements with Body Pressure Distribution Measurement for Ride Comfort Evaluation in Vehicle Seat
العنوان: | Detection and Classification of Unconscious Movements with Body Pressure Distribution Measurement for Ride Comfort Evaluation in Vehicle Seat |
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المؤلفون: | Hitomi Nakamura, Setsuo Maeda, Junya Tatsuno, Koki Suyama |
المصدر: | Advances in Intelligent Systems and Computing ISBN: 9783030509422 AHFE (12) |
بيانات النشر: | Springer International Publishing, 2020. |
سنة النشر: | 2020 |
مصطلحات موضوعية: | Unconscious mind, Movement (music), business.industry, Driving simulator, Video image, law.invention, Visual inspection, Pressure measurement, law, In vehicle, Whole body vibration, Computer vision, Artificial intelligence, Psychology, business |
الوصف: | 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. |
ردمك: | 978-3-030-50942-2 |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::e2fd23bd37e911756e95e5b155410a01 https://doi.org/10.1007/978-3-030-50943-9_35 |
حقوق: | CLOSED |
رقم الأكسشن: | edsair.doi...........e2fd23bd37e911756e95e5b155410a01 |
قاعدة البيانات: | OpenAIRE |
ردمك: | 9783030509422 |
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