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      Evaluation of an Ergonomic Seat Motion System using EOG Analysis

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      https://www.riss.kr/link?id=A101874927

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      다국어 초록 (Multilingual Abstract)

      Objective: The aim of this study is to develop and evaluate an ergonomic seat motion system for reducing driver’s mental fatigue. Background: Driving fatigues are physically and cognitively occurred due to internal/external workloads generated by va...

      Objective: The aim of this study is to develop and evaluate an ergonomic seat motion system for reducing driver’s mental fatigue. Background: Driving fatigues are physically and cognitively occurred due to internal/external workloads generated by various driving environments. In particular, passive task-related (PTR) fatigue occurred by monotonous driving (e.g., expressway driving) induces drowsy driving and reduces driving ability. Thus, seat motion systems (SMSs) for decreasing driver’s mental fatigue have been developed recently; however SMSs need those validations. Method: Three-step research protocol (S1. development of a SMS, S2. experiment on ergonomic driving, S3. evaluation of the SMS) was applied as followings; (1) development of the SMS derived from literature survey, (2) measurement of EOG signals through expressway driving simulation experiment (n = 30; 20s ~ 50s, driving experience > 2 yr) at both a static seat and a dynamic seat applied with the SMS, and (3) validation of the SMS through EOG waveform analysis. Meanwhile, the present study developed and applied an eye location correction algorithm to minimize variation of driver’s eye location by occurring seat motion. Results: Three eye blink types (alert, normal, drowsy) were classified through K-means clustering analysis by using three EOG parameters (peak amplitude, closing time, opening time). 70% of drivers had that drowsy blink rate at the dynamic seat was reduced comparing with that at the static seat. Mean drowsy blink rate at the dynamic seat (35%) was significantly lower than that at the static seat (38%) (z = 9.56, p < .001). Conclusion: The developed SMS can contribute to reducing driver’s PTR fatigue. Application: The SMS can be applied with real vehicles for maintaining driving ability and driving safety.

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      목차 (Table of Contents)

      • ABSTRACT
      • 1. Introduction
      • 2. Method
      • 3. Results
      • 4. Discussion
      • ABSTRACT
      • 1. Introduction
      • 2. Method
      • 3. Results
      • 4. Discussion
      • References
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