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Updated: May 25, 2026

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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
Published on: July 27, 2018
Low-power sensor module for long-term activity monitoring
Kaspar Leuenberger1, Roger Gassert
1Rehabilitation Engineering Lab, ETH Zurich, Switzerland. lkaspar@ethz.ch
Summary
ReSense is a miniature wearable sensor for long-term functional activity monitoring. It uses inertial and barometric sensors to capture detailed movement data, distinguishing activities like stair climbing from elevator use.
Area of Science:
- Biomedical Engineering
- Rehabilitation Technology
- Wearable Sensors
Background:
- Wearable sensors offer potential for long-term functional motor activity assessment and therapy transfer studies.
- Existing systems often have limited sensing capabilities or are not designed for extended monitoring.
Purpose of the Study:
- To present ReSense, a novel miniature sensor unit optimized for long-term monitoring of functional activity.
- To evaluate the capabilities of ReSense in capturing detailed movement data and distinguishing specific daily activities.
Main Methods:
- Development of a miniature sensor module (Ø25 × 10 mm, 10 g) integrating inertial MEMS sensors (6 degrees of freedom) and a barometric pressure sensor.
- Implementation of an integrated memory card for data logging and a power-management system for extended operation.
- Continuous recording at 25 Hz (27 h) and 100 Hz (22 h), with inactivity detection extending operational time by approximately twofold.
Main Results:
- The ReSense module successfully recorded functional activity data over extended periods.
- The barometric sensor enabled identification of activities involving altitude changes (e.g., stairs, elevators).
- Combined analysis of inertial and barometric data allowed differentiation between stair climbing and elevator use.
Conclusions:
- ReSense is a compact, long-term capable wearable sensor system for functional activity monitoring.
- The sensor's ability to differentiate altitude-related activities enhances its utility in real-world settings.
- This technology can advance the assessment of motor function and therapy effectiveness in daily living.
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