Partner Network

Research in context

BEYOND 01 is validated and deployed through active research collaborations with leading institutions across Europe. These are the studies, findings, and teams behind the data.

Become a research partner
6+
Partner institutions
6
Countries
ICC 0.90–0.93
Best validated result
200+
Research participants
Collaboration Examples

Studies and findings

Real research contexts — what teams were trying to answer, how BEYOND 01 was deployed, and what the data showed.

VU Amsterdam
Netherlands
Department of Human Movement Sciences
n = 40 participants
6-month longitudinal
Weekly outdoor sessions
Ages 65–80
Outdoor gait variability in older adults: what the lab can't see

40 community-dwelling older adults measured weekly over 6 months in their natural walking environments — parks, pavements, home surroundings. Compared against a laboratory force-plate baseline to quantify what fixed-environment protocols systematically miss in terms of gait variability, adaptation strategies, and fall-risk predictors.

Key finding
Outdoor gait variability differed significantly from lab-measured gait in 78% of participants. Step-width variability — a known fall-risk predictor — was measurably higher in real-world conditions, and invisible to standard lab treadmill protocols.

"The ability to measure participants in their actual walking environment fundamentally changed what we could observe. Lab-based gait analysis had been giving us a systematically optimistic picture of how our participants actually moved through the world."

Research lead, VU Amsterdam Human Movement Sciences
Gait Analysis Fall Risk Longitudinal Ecological Validity Ageing
German Sport University Cologne
Germany
Institute of Biomechanics & Orthopaedics
n = 18 elite sprinters
12-week intervention
Competition-intensity sessions
National-level athletes
Sprint mechanics under competition load: field validation at ICC 0.78

18 national-level sprinters measured during high-intensity track sessions over 12 weeks. Hip extension kinematics, trunk rotation, and foot-strike angles captured during actual competition-preparation training — conditions impossible to replicate on a lab treadmill. Simultaneously validated against optical motion capture in matched lab sessions to establish field-measurement reliability.

Key finding
BEYOND 01 achieved ICC 0.78 against the lab optical baseline for hip extension angles — confirming its suitability for technique analysis under competition-intensity physiological and neuromuscular load, where performance-relevant mechanics emerge.

"Athletes change their mechanics when they're truly at their limit. Lab-measured technique and competition-load technique are not the same thing. BEYOND 01 let us finally study what we actually care about."

Principal investigator, German Sport University Cologne
Sprint Biomechanics Elite Athletics ICC 0.78 Validated Performance Science Technique Analysis
KU Leuven
Belgium
Department of Movement Sciences
n = 24 ACL patients
9-month follow-up
Hospital to training ground
Bi-weekly assessments
Return-to-sport after ACL reconstruction: tracking asymmetry from clinic to field

24 athletes recovering from ACL reconstruction assessed bi-weekly from post-surgery rehabilitation through full return-to-sport clearance — a 9-month follow-up spanning hospital physiotherapy, gym-based strength phases, and on-field sport-specific training. BEYOND 01 enabled continuous kinematic monitoring across all phases without site constraints.

Key finding
Persistent hip-ankle asymmetry patterns were detected 4–6 weeks earlier with continuous field measurement than with standard bi-weekly clinical assessment. Earlier detection correlated with adjusted return-to-sport timelines in 7 of 24 cases.

"Standard RTS criteria clear athletes who are still compensating. Continuous measurement across the full rehabilitation environment — not just the clinic — catches compensatory patterns that subjective assessment misses."

Research lead, KU Leuven Movement Sciences
ACL Rehabilitation Return-to-Sport Asymmetry Analysis Clinical Research Outcome Measurement
Research Partner Directory

The full network

Netherlands
Vrije Universiteit Amsterdam
Department of Human Movement Sciences
Gait Analysis · Ageing · Ecological Validity
Belgium
KU Leuven
Department of Movement Sciences
Sport Performance · Rehabilitation Research
Germany
German Sport University Cologne
Institute of Biomechanics & Orthopaedics
Elite Athletics · Sprint Biomechanics · Injury Prevention
United Kingdom
Loughborough University
School of Sport, Exercise and Health Sciences
Wearable Technology · Validation Studies
Switzerland
ETH Zürich
Sensory-Motor Systems Lab
Human Motion Datasets · AI Applications · Robotics
Sweden
Karolinska Institute
Department of Neuroscience
Rehabilitation · Movement Disorders · Neurological Conditions
Netherlands
University of Twente
Biomedical Signals & Systems Group
System Development · Sensor Validation · Founding Institution
Work With Us

Become a research
partner

We actively seek collaborations that test BEYOND 01 in new populations, environments, and clinical contexts. Partnerships range from paid deployments to joint research grants.

  • Co-authorship and publication support
  • Preferential pricing for partner institutions
  • Early access to new features and firmware
  • Free Research Pilot track for qualifying studies
  • Joint grant application support (NWO, Horizon Europe)
Start a conversation
Free Research Pilot

3-month hardware loan for qualifying studies. Submit a research plan — accepted on scientific merit and relevance to natural movement in uncontrolled environments.

Validation Collaboration

Co-design validation studies comparing BEYOND 01 against your existing gold-standard system. We provide hardware and analysis support; you provide the lab access and participant pool.

Dataset Creation

Partner with us to create and publish large-scale natural motion datasets. BEYOND 01's synchronized RGB + 3D kinematics output is suited for benchmark dataset creation for AI applications.