Month: July 2026

New Study validates the Activity Sensor Move 4 for Motion Analysis in Children and Young Adolescents Using Manual Wheelchairs
Objective movement measurement is a key prerequisite for evidence-based research. A recent study by Friedrich-Alexander University Erlangen-Nürnberg published in the Journal of NeuroEngineering and Rehabilitation marks an important milestone in this field. For the first time the movisens Move 4 - Activity Sensor has been validated and calibrated specifically for children and adolescents who use manual wheelchairs.

The aim of the study was to establish robust activity intensity thresholds ranging from sedentary behavior to vigorous wheelchair propulsion. Heart rate and energy expenditure were also measured as physiological reference parameters. The results demonstrate that the Move 4 accurately and reliably captures different levels of physical activity. In particular, the high measurement stability and the newly developed population-specific activity thresholds provide an important foundation for future research in inclusive physical activity and rehabilitation. These findings enable a more objective and precise assessment of physical activity and movement behavior in children and adolescents using manual wheelchairs.

Close collaboration between researchers and technology providers is a key factor in the success of projects like this. This collaboration enabled reliable data collection and laid the foundation for the successful validation of the system. We are proud that our technology contributes to innovative, practice-oriented research. Together with our scientific partners we are advancing objective movement analysis and helping to create new opportunities for research, rehabilitation, and evidence-based healthcare.

Today, researchers studying the relationship between physical activity, movement, and mood in everyday life increasingly rely on movisens as a central part of their work.

What began as a combination of scientifically validated wearable sensors and innovative EMA technology has grown into an established infrastructure for behavioral and health research. Research teams around the world use movisens to measure experiences and behaviors where they actually happen—in people's daily lives.
A recent meta-analysis published in Nature Human Behaviour highlights movisens' role in the field. The study brings together findings from a large number of investigations examining the relationship between movement and mood and represents one of the most comprehensive analyses conducted to date. Notably, researchers carried out many of the included studies using movisens technology.
This achievement reflects more than the widespread adoption of sensors and apps. Over the years, researchers have built a shared ecosystem around movisens—one that supports comparable data, reproducible methods, and the integration of findings across studies.
Today, movisens delivers far more than sensor technology or EMA software. It provides a research infrastructure that makes real-world behavior and lived experiences measurable. Researchers use this infrastructure to understand the dynamics of human behavior beyond the laboratory and to answer questions that are becoming increasingly important for prevention, mental health, and personalized interventions.

If researchers want to understand real life, they must measure people in real life. Every day, movisens enables researchers around the world to do exactly that.