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Developing movement recognition application with the use of Shimmer sensor and Microsoft Kinect sensor.

Tibor Guzsvinecz¹, Veronika Szucs², Cecília Sik Lányi³

¹dzsiti@hotmail.com, University of Pannonia, Egyetem str. 10. Veszprém, Hungary.

Studies in Health Technology and Informatics

|August 22, 2015

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This study compared the precision of Shimmer and Microsoft Kinect sensors for virtual reality rehabilitation. The Microsoft Kinect sensor provided more accurate gesture recognition data than the Shimmer sensor.

Area of Science:

Biomedical Engineering
Computer Science
Rehabilitation Technology

Background:

Virtual reality (VR) applications are rapidly advancing, with increasing availability of non-handheld devices for user interaction.
These VR applications hold significant potential in education, entertainment, and particularly, rehabilitation.
Home-based rehabilitation for stroke patients can benefit from precise and efficient user interaction technologies.

Purpose of the Study:

To evaluate the precision and efficiency of non-handheld devices for user interaction in VR applications.
To assess the accuracy of gesture recognition by Shimmer and Microsoft Kinect sensors for stroke patient rehabilitation.
To compare the performance of two distinct sensor technologies in a VR-based rehabilitation context.

Main Methods:

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A novel VR application was developed using C# to support home-based stroke rehabilitation.
The application integrates Shimmer and Microsoft Kinect sensors operating in parallel to identify and validate user actions.
It records an educational movement pattern and compares it against the user's real-time actions for analysis.

Main Results:

The study compared the precision of gesture recognition between Shimmer and Microsoft Kinect sensors.
The application was capable of teaching and recognizing five distinct movements using both sensors.
Significantly more precise data were collected using the Microsoft Kinect sensor compared to the Shimmer sensor.

Conclusions:

The Microsoft Kinect sensor demonstrated superior precision in data collection for VR-based rehabilitation tasks.
Sensor precision directly impacts the effectiveness and efficiency of rehabilitation programs for stroke patients.
Future VR rehabilitation applications should consider the superior accuracy of devices like the Microsoft Kinect.