Movesense Academic Program

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.

Key guidelines

  • Researchers and teams apply for the program. Movesense selects and invites projects based on applications.
  • Movesense supplies the selected research teams with up to 20 Movesense sensors and associated accessories such as heart rate straps. The exact amount of supplied equipment depends on the project scope.
  • Kaasa solution GmbH makes its Data Collector mobile application available to the research projects.
  • Movesense team and Kaasa will support the project participants with technical questions.
  • Researchers agree to mention Movesense in scientific articles and other publications related to the project and refer to as a source for more information on Movesense when possible.
  • Research projects agree to provide the Movesense team with material related to the research project that can be used in news articles on and shared in Movesense social media.
  • Researchers allow Movesense to list their project as part of Movesense Academic Program in Movesense communication.

Selection criteria

  • Innovativeness and usefulness of the research project
  • Potential of commercial applications of the project results
  • Utility value of Movesense sensors for completing the project
  • Potential of the project to build awareness for Movesense
  • Additional non-published criteria of Movesense and Kaasa solution teams


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.

How to apply

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:


Further information

Read more about Movesense Technology

Movesense Benefits for Scientific Research


Participating Projects

Projects invited in Q1, 2023 (read more)

Training Monitoring in Adolescent Biathletes
Mid Sweden University, Swedish Wintersport Research Centre, Östersund

Creating a Biomechanical Model using OpenSim and Movesense Sensors
University of Otago, Dunedin, New Zealand

Projects invited in Q4, 2022 (read more)

Cervical Dystonia – objective assessment of symptoms based on sensor data
Jožef Stefan Institute, Ljubljana, Slovenia

Feasibility study of the analysis of ECG signals by open source algorithms for Early Warning Score calculations
University of GhentAZ Maria Middelares hospital, Ghent, Belgium

Projects invited in Q1, 2022 (read more)

Motion Analysis in Biomechanics and Motor Behaviour
Polytechnic Institute of Santarém – Sport Sciences School of Rio Maior, Santarém, Portugal

Monitoring the physical activity of perioperative patients
Universitätsklinikum Würzburg, Anästhesiologie, Würzburg, Germany

A Home-Based Exercise Program for Older Adults Supported by Voice-controlled Intelligent Personal Assistants and Movesense Sensors
Deakin University, Melbourne, Australia

Projects invited in Q4, 2021 (read more)

Wearable sensor technology to monitor training load, prevent injury and improve health in high-performance athletes
Technion- Israel Institute of Technology, Israel

Behavior and Sports analysis on Mixed Methods
INEFC (Institut Nacional d’Educació Física de Catalunya), Unversity of Lleida, Spain

Projects invited in Q2, 2021 (read more)

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

Projects invited in Q1, 2021 (read more)

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

Projects invited in Q3, 2020 (read more)

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

Projects invited in Q1, 2020 (read more)

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

Projects invited in Q4, 2019 (read more)

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

Research Articles with Movesense

Google Scholar search for Movesense: 198 hits with Movesense since 2017 (as of January 20, 2023)

Examples of articles:

Intelligent wearable allows out-of-the-lab tracking of developing motor abilities in infants
Manu Airaksinen, Anastasia Gallen, Anna Kivi, Pavithra Vijayakrishnan, Taru Häyrinen, Elina Ilén, Okko Räsänen, Leena M. Haataja, Sampsa Vanhatalo


Estimation of Respiratory Frequency in Women and Men by Kubios HRV Software Using the Polar H10 or Movesense Medical ECG Sensor during an Exercise Ramp
Bruce Rogers, Marcelle Schaffarczyk, Thomas Gronwald


Development and evaluation of an inertial measurement unit (IMU) system for jump detection and jump height estimation in beach volleyball
Samuel Schleitzer, Svenja Wirtz, Ross Julian, Eric Eils


The Movesense Medical Sensor Chest Belt Device as Single Channel ECG for RR Interval Detection and HRV Analysis during Resting State and Incremental Exercise: A Cross-Sectional Validation Study
Bruce Rogers, Marcelle Schaffarczyk, Martina Clauß, Laurent Mourot, Thomas Gronwald


Development and evaluation of an inertial measurement unit (IMU) system for jump detection and jump height estimation in beach volleyball
Samuel Schleitzer, Svenja Wirtz, Ross Julian, Eric Eils


An automated heart rate-based algorithm for sleep stage classification: Validation using conventional polysomnography and an innovative wearable electrocardiogram device
Nicolò Pini, Ju Lynn Ong, Gizem Yilmaz, Nicholas I. Y. N. Chee, Zhao Siting, Animesh Awasthi, Siddharth Biju, Kishan Kishan, Amiya Patanaik, William P. Fifer, Maristella Lucchini


Commercially-available heart rate monitor repurposed into a 9-gram standalone device for automatic arrhythmia detection with snapshot electrocardiographic capability: a pilot validation
Chiara Martini, Bernardo Di Maria, Claudio Reverberi, Domenico Tuttolomondo, Nicola Gaibazzi


Comparison of Heart Rate Monitoring Accuracy between Chest Strap and Vest during Physical Training and Implications on Training Decisions
Jakub Parak, Mikko Salonen, Tero Myllymäki, Ilkka Korhonen


Automatic Mobile Health Arrhythmia Monitoring for the Detection of Atrial Fibrillation: Prospective Feasibility, Accuracy, and User Experience Study
Onni E Santala, Jari Halonen, Susanna Martikainen, Helena Jäntti, Tuomas T Rissanen, Mika P Tarvainen, Tomi P Laitinen, Tiina M Laitinen, Eemu-Samuli Väliaho, Juha E K Hartikainen, Tero J Martikainen, Jukka A Lipponen


Instantaneous Heart Rate based sleep staging using deep learning models as a convenient alternative to Polysomnography
Y Jie Chen, Z Siting, K Kishan, A Patanaik

Link: ERJ Open Research 2021; 7: Suppl. 7, 63

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


Climbing Activity Recognition and Measurement with Sensor Data Analysis
Iustina Ivanova, Marina Andric, Andrea Janes, Francesco Ricci, Floriano Zini

International Conference on Multimodal Interaction (ICMI ’20 Companion). Association for Computing Machinery, New York, NY, USA, 245–249.

Link: DOI:

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, Lipponen JA, Hiltunen P, Rissanen TT, Kolk I, Tarvainen MP, Martikainen TJ, Castren M, Väliaho ES, Jäntti H.

Am J Cardiol. 2019 May 15;123(10):1643-1648. doi: 10.1016/j.amjcard.2019.02.028. Epub 2019 Feb 23.


Identification of Motor Symptoms Related to Parkinson Disease Using Motion-Tracking Sensors at Home (KÄVELI): Protocol for an Observational Case-Control Study
Jauhiainen M, Puustinen J, Mehrang S, Ruokolainen J, Holm A, Vehkaoja A, Nieminen H

Link: JMIR Res Protoc 2019;8(3):e12808

Mobile Fall Risk Assessment Solution for Daily-Life Settings
H. Similä, M. Immonen and T. Niemirepo

40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018, pp. 1530-1533

Link: doi: 10.1109/EMBC.2018.8512589

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