Characterization of seat-to-head vibration transmissibility responses of a seated human body: the significance of the measurement location
Bibliographic record
Abstract
This study experimentally investigated seat-to-head vibration transmissibility (STHT) characteristics of seated human subjects exposed to vertical whole-body vibration (WBV), using various measurement systems mounted at different positions on the head. A novel experimental approach was designed to simultaneously measure the STHT responses at three different locations on the head, namely: the mouth level (Bite-bar), forehead (Forehead-band), and top of the skull (Head-band). Measurements were performed with five male participants exposed to three levels of random vertical vibration (RMS acceleration: 0.25, 0.50, and 0.75 m/s 2 ) in the 0.5 to 20 Hz frequency range, considering two sitting conditions (with and without a back support). The data were acquired and analyzed to derive STHT responses along three translational axes (fore-aft, vertical, and lateral) and two rotational (pitch and roll/yaw) directions. Statistical analyses were further conducted to investigate the significance of measurement location, sitting condition, and vibration excitation levels on the STHT responses. The findings showed notable effects of measurement locations on the measured STHT responses. This is likely the primary cause of the wide variability observed among the STHT responses reported in different studies. However, the pitch STHT responses at different measurement locations indicated were almost similar across all test conditions. The statistical analyses also revealed that the measurement location and sitting condition had particularly significant effects on the fore-aft and vertical STHT, while the magnitude of vibration excitations showed only a softening tendency, with only a minor effect on the STHT magnitude.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".