Evidence map›Paper›PMID 42515353›Full record

ArticleSensors (Basel, Switzerland)2026

Wearable IMU-Derived Kinematic Reference Profiles of Lower-Limb Kick and Wipe Gestures for Contactless Automotive Tailgate Activation.

János Dreveton, Moritz Labetzsch, Tim Gocke, Torsten Bertram

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

János DrevetonInstitute of Control Theory and Systems Engineering (RST), TU Dortmund University, Otto-Hahn-Str. 8, 44227 Dortmund, Germany.ORCID 0009-0002-1033-8219
Moritz LabetzschBMW Group, Petuelring 130, 80809 Munich, Germany.ORCID 0009-0003-2568-2773
Tim GockeBMW Group, Petuelring 130, 80809 Munich, Germany.
Torsten BertramInstitute of Control Theory and Systems Engineering (RST), TU Dortmund University, Otto-Hahn-Str. 8, 44227 Dortmund, Germany.ORCID 0000-0002-6096-8190

Funding

BMW Group (Germany) No Grant NumberTU Dortmund University Publication Fund (no Grant Number)
6 · The paper itself

Abstract

Contactless automotive tailgate activation relies on recognizing intentional lower-limb gestures near the rear bumper, yet these systems are developed and evaluated from sensor-specific recordings rather than from the underlying human movement, so quantitative, sensor-independent kinematic reference profiles for these gestures are lacking. This study establishes wearable inertial measurement unit (IMU)-derived reference profiles of two tailgate-activation gestures: a forward kick and a lateral wipe. Lower-body motion was recorded in 56 adult participants using a seven-sensor Xsens Awinda configuration under application-oriented conditions, yielding 6879 segmented movements. To the best of our knowledge, this is among the most extensive of such datasets, providing a sensor-independent, joint- and segment-level movement reference. Both gestures shared a common sagittal structure dominated by knee, ankle, and hip flexion/extension, with mean knee flexion/extension of 45.9∘ for kick and 42.3∘ for wipe movements. Wipe gestures differed through markedly larger non-sagittal components, with hip abduction/adduction of 17.2∘ versus 7.7∘ and ankle internal/external rotation of 16.6∘ versus 8.7∘, confirmed in every participant (p<0.001). Foot-segment kinematics showed the highest velocities, with a mean resultant foot velocity of approximately 1.8m/s. These profiles provide a quantitative biomechanical basis for benchmarking gesture-recognition sensor systems, informing detection-window and threshold selection, and enabling standardized, repeatable testing of contactless automotive HMI systems.

Indexed as

AutomobilesGesturesLower ExtremityWearable Electronic DevicesAdultBiomechanical PhenomenaFemaleHumansMaleMotion CaptureMovementYoung Adultautomotive human–machine interactioncontactless tailgate activationgesture recognitionhuman movement analysisinertial measurement unitkick gesturelower-limb kinematicssensor-system evaluationwearable inertial sensorswipe gesture

Identifiers

PMID42515353
PMCPMC13418092

What Socratic holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.