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A Novel Online Position Estimation Method and Movement Sonification System: The Soniccup.

Thomas H Nown¹, Madeleine A Grealy², Ivan Andonovic³

¹Department of Biomedical Engineering, University of Strathclyde, Glasgow G4 0UW, UK.

Sensors (Basel, Switzerland)

|October 16, 2024

Summary

This study introduces Soniccup, a novel system using a single inertial measurement unit (IMU) for accurate upper limb position tracking. The system shows promise for rehabilitation applications by converting movement data into audio feedback.

Keywords:

Kalman filter dead reckoning inertial measurement unit movement sonification upper limb motion zero-velocity updates

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Area of Science:

Biomechanics
Rehabilitation Engineering
Sensor Technology

Background:

Accurate upper limb position tracking is crucial for rehabilitation.
Existing multi-sensor methods are complex and time-consuming.
Single inertial sensor solutions offer reduced complexity and setup time.

Purpose of the Study:

To develop and evaluate a novel system for obtaining position estimates from a single inertial sensor.
To assess the feasibility of using zero velocity updates for improved dead reckoning accuracy.
To explore the application of sonification for audio feedback in rehabilitation.

Main Methods:

Utilized a commercial inertial measurement unit (IMU), a momentary switch, and a 3D-printed housing.
Implemented a zero velocity update algorithm for position estimation.
Compared the 'Soniccup' system's performance against a Vicon Nexus motion capture system.

Main Results:

The Soniccup system demonstrated high similarity in positional estimates for reaching movements under one second compared to the Vicon system.
Comparable audio outputs were generated from both systems for short-duration movements.
System latency and performance for longer movements require further improvement.

Conclusions:

The Soniccup system shows potential for accurate upper limb tracking using a single IMU.
Sonification of movement data offers a viable feedback mechanism for rehabilitation.
Further development is needed to enhance performance for longer movements and enable real-time feedback.