Movesense Academic Program equips scientists and researchers with sensor hardware and tools for efficiently measuring and collecting motion and physiology data. The aim of the program is to grow Movesense awareness in the academic world and to support promising research projects with tools and solutions for efficient data collecting. The program is initiated together with our development partner Kaasa solution GmbH from Germany.
Movesense team has the right to select applications at its own consideration and is not obliged to explain why a project was selected or not selected to the program.
Interested researchers send an application to the Movesense team via an online form. The application includes a short description of the project, project timeline, and a description of how the Movesense sensors would be used.
Application period starts on November 1st, 2019 and is open until further notice. Movesense team reviews the applications on weekly basis and invites up to three projects per quarter to the program. First projects will be selected during Q4 2019 if qualified candidates exist.
Movesense team and Kaasa solution warmly welcome academic teams, researchers and students to apply for the Movesense Academic Program!
Movesense Academic Program Poster (pdf 142kB). Feel free to share the poster in your network!
Movesense Academic Program Poster in German / auf Deutsch:
Read more about Movesense Technology
Perturbation of the unstable shoulder
Flawless Motion, Auckland, New Zealand
Remote, real-time arrhythmia monitoring and screening
National Center of Artificial Intelligence, University of Engineering and Technology, Peshawar, Pakistan
Fetal Heart Rate and Neonatal Monitoring
Universal Diagnostics Pvt. Ltd, Rawalpindi, Pakistan
Perceptual-Cognitive Expertise in Soccer: Analyzing Visual Search Behavior
Faculty of Sport Science, Institute of Movement and Training Science I, University of Leipzig, Germany
Fractal Correlation Properties of Heart Rate Variability: Exploration and Implementation of a New Biomarker for Intensity Distribution in Endurance Exercise and Training Prescription
MSH Medical School, Hamburg, Germany
Running Related Injury
EPSI Platform, Université de Franche-Comté, France
Locomotor Coupling in Running
University of Salzburg, Digital Motion, Austria
Embodied Telepresent Human Connection
Simon Fraser University – iSpace Lab, Surrey, Canada
Training Load with Elite Gymnasts
French Federation of Gymnastics & Université de Franche-Comté, France
Training Load Monitoring in Youth Soccer – a Pilot Study
University of Calgary, Sport Injury Prevention Research Center, Canada
Ergonomics – risk assessment of hand intensive repetitive work
KTH Royal Institute of Technology, Division of Ergonomics, Sweden
Development of Orthopaedic Wearable Technology for Equine Athletics to Optimize Performance and to Minimise Injury
Colorado State University, College of Veterinary Medicine and Biomedical Sciences, USA
Collection and interpretation of markers of equine disease and fitness in large groups of horses
W2ND Inc. and University of Pennsylvania New Bolton Center, USA
Wheelchair mobility performance monitor
The Hague University of Applied Sciences / Delft University of Technology, Netherlands
The Digital Wheelchair: Individual empowerment for a more active society
NTNU Trondheim (Norwegian University of Science and Technology)
Sleep health monitoring
Neurobit Technologies, Singapore
Chronic pain patient tracking by psychotherapists
Institute of Medical Psychology, University of Marburg, Germany
An openly available wearable, a diaper cover, monitors infant’s respiration and position during rest and sleep
Jukka Ranta, Elina Ilén, Kirsi Palmu, Jonna Salama, Oleksii Roienko, Sampsa Vanhatalo
Fractal Correlation Properties of Heart Rate Variability: A New Biomarker for Intensity Distribution in Endurance Exercise and Training Prescription?
Thomas Gronwald, Bruce Rogers and Olaf Hoos
Automatic Posture and Movement Tracking of Infants with Wearable Movement Sensors
Manu Airaksinen, Okko Räsänen, Elina Ilén, Taru Häyrinen, Anna Kivi, Viviana Marchi, Anastasia Gallen, Sonja Blom, Anni Varhe, Nico Kaartinen, Leena Haataja, Sampsa Vanhatalo
Monitoring Newborn and Infant Sleep Respiration and Heart Rate with a Wearable Sensor
Natalia Acosta Leinonen, Master’s thesis, University of Helsinki, Faculty of Biological and Environmental Sciences
Effectiveness of the Chest Strap Electrocardiogram to Detect Atrial Fibrillation
Hartikainen S 1, Lipponen JA 2, Hiltunen P 3, Rissanen TT 4, Kolk I 5, Tarvainen MP 6, Martikainen TJ 7, Castren M 8, Väliaho ES 9, Jäntti H 10.
Am J Cardiol. 2019 May 15;123(10):1643-1648. doi: 10.1016/j.amjcard.2019.02.028. Epub 2019 Feb 23.