The HOSD platform aims to understand and exploit towards clinical trials and practice how human movement and physical activity and their behavioural, functional and (sports) performance dimensions serve as outcome measures, (early) diagnostic biomarkers and modality for treatment, prevention or delay in many disease areas. This particularly applies to where the musculoskeletal system is directly affected, e.g. in orthopaedics and sports injury as well as but also where the effects are less direct but evident such as with neurodegenerative diseases and other NCD’s of high patient and socioeconomic burden such as cancer, diabetes, multiple sclerosis or also ageing. Here activity profiles and movement patterns are also relevant for patient stratification into clinical trials.


We conduct and support research related to the systematic assessment of human movement biomechanics, physical activity behaviour, functional performance and associated biometrics using lab-based methods (3D motion capture, force plates), portable, ambulant or remote methods for out-of-lab and free-field measurements as well as real-life monitoring using e.g. wearable devices, sensors or other digital tools including electronic patient self-reports, experience sampling methods and multi-modal approaches. Our activities comprise the development, selection, configuration, technical and clinical validation and application of such methods in research and clinical practice in translational (from bench-to-bed and back) and transversal (across medical disciplines and diseases) manners. These activities naturally interface with biosignal processing, data science methods such as machine learning.

Research Projects
  • 3D motion analysis of gait, run and hop-test as a routine clinical tool to objectify clinical outcomes following anterior cruciate ligament (ACL) surgery.

  • Identifying 3D motion and physcial activity biomarkers in patients after anterior cruciate ligament (ACL) reconstruction towards preventing injury relapse, safe return-to-play and predicting outcome for individualized rehabilitation (S-TRAINING).

  • Pre-operative gait analysis and activity monitoring to support patient-specific surgical planning of knee ostetomies for personalized medicine and improved outcomes.

  • Early and remote diagnostics of knee osteoarthritis via mobility biomarkers from wearable activity monitors – developmnet and validation.

  • Combining app-based patient self-reports, symptom diaries and triggered functional test assessed with a wearable monitor (“guided routines”) towards understanding how perception of pain, joint stiffness or instability affects functional performance and habitual activity levels and vice-versa.

Featured Publications

Does prevention pay off? Economic aspects of sports injury prevention: a systematic review.

  • Human Motion, Orthopaedics, Sports Medicine and Digital Methods
October 01, 2021
2021 Oct. Br J Sports Med. Online ahead of print.
  • Lutter C
  • Jacquet C
  • Verhagen E
  • Seil R
  • Tischer T.

Artificial intelligence and machine learning: an introduction for orthopaedic surgeons.

  • Human Motion, Orthopaedics, Sports Medicine and Digital Methods
September 15, 2021
2021 Sep. Knee Surg Sports Traumatol Arthrosc. Online ahead of print.
  • Martin RK
  • Ley C
  • Pareek A
  • Groll A
  • Tischer T
  • Seil R.
See all publications


Bernd Grimm


76, rue d'Eich
Tel. : +352 26970-917