Analyzing the Effects of Driving Experience on Prebraking Behaviors Based on Data Collected by Motion Capture Devices
DOI: 10.1109/access.2020.3034594
archive: archived pipeline: cataloged verified
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Summary
This study investigates how driver characteristics—specifically driving experience, gender, and stature—affect "prebraking" behaviors, defined as the body movements occurring before a driver’s foot touches the brake pedal. While prior research has focused on braking maneuvers during collision avoidance, this work addresses a gap in understanding daily driving scenarios, such as turning and parking, where human errors like pedal confusion frequently cause accidents. The authors hypothesized that drivers perform similar prebraking actions regardless of the specific braking scenario and sought to identify how individual differences influence these behaviors to inform Advanced Driver Assistance Systems (ADAS) and driver training. The researchers conducted experiments at a vehicle test center in China using ten participants: five novice drivers (undergraduate students and a professor with less than 1,000 km of driving experience) and five experienced taxi drivers (over one million kilometers). Participants performed two tasks—right-angled turns and reverse parking—while wearing a high-precision wearable motion capture device (Xsens MVN Animate Pro) that recorded 3D coordinate data for 23 joints. The study focused on seven joints related to braking: the right upper leg, lower leg, foot, toe tip, pelvis, and spinal joints L3 and L5. From 100 total trials, 50 high-quality datasets for each task were selected. Metrics analyzed included joint angles (knee, ankle, waist), toe tip movement distance along the Z-axis, and movement speed in 3D space. Statistical analysis employed paired samples T-tests and two-way analyses of variance (ANOVAs) to examine interaction effects. The results confirmed the hypothesis that drivers exhibit similar prebraking body actions across different braking scenarios, allowing the data from both tasks to be combined. The ANOVA revealed significant interaction effects between driving experience and gender on specific metrics. For knee angle changes during the initial phase of prebraking, female drivers exhibited significantly larger changes than males. However, this effect was moderated by experience: among male drivers, experienced individuals showed substantially greater knee angle changes than novices, whereas no such difference was observed between experienced and novice female drivers. Additionally, the study found that the final height of the toe tip differed significantly based on driving experience, suggesting distinct movement habits. The analysis also accounted for stature, represented by knee height, though no three-way interaction among experience, gender, and stature was detected. These findings provide empirical evidence that driver characteristics significantly influence prebraking kinematics, particularly through the interaction of experience and gender. The study concludes that these insights can guide the development of self-driving technologies and ADAS by helping systems better anticipate driver intentions and adapt to individual differences. Furthermore, the identified patterns offer a basis for improving novice driver training programs, potentially reducing accidents caused by pedal misapplication or improper braking techniques in daily driving contexts.
Provenance
The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed.
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | OpenAlex-citations | — | — | 1 | 2026-06-17 |
| archive | success | unpaywall | — | — | 2 | 2026-06-25 |
| extract | success | cached | — | — | 2 | 2026-06-26 |
| clean | success | clean | — | — | 1 | 2026-06-18 |
| chunk | success | chunk | — | — | 1 | 2026-06-18 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-18 |
| promote | success | — | — | — | 1 | 2026-06-17 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-26 |
| tag | success | vector_similarity | — | — | 6 | 2026-06-18 |
| verify | success | — | — | — | 1 | 2026-06-26 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-26; verification: verified.
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Information type
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- Empirical Findings: behavioral performance data, observational prevalence
- Methodological Resource: dataset resource