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Published on: September 1, 2016
Measuring muscle movements for human interfaces using a flexible piezoelectric thin film sensor
Nan Bu1, Junpei Tsukamoto, Naohiro Ueno
1Measurement Solution Research Center, National Institute of Advanced Industrial Science and Technology (AIST), 807-1, Shuku-machi, Tosu, 841-0052 Japan. bu@ieee.org
Summary
This study introduces a new flexible piezoelectric sensor made of aluminum nitride (AlN) thin film to detect muscle movements via skin surface changes. The sensor enables accurate measurement of small strains, showing promise for advanced human interface applications.
Area of Science:
- Biomedical Engineering
- Materials Science
- Human-Computer Interaction
Background:
- Muscle movements cause changes in cross-sectional area, detectable as skin surface morphological changes.
- Existing methods for measuring muscle activity may have limitations in sensitivity or flexibility.
- Developing non-invasive, sensitive sensors is crucial for advanced human interface technologies.
Purpose of the Study:
- To propose and validate a novel method for measuring muscle movements using a flexible piezoelectric thin film sensor.
- To assess the sensor's capability for detecting subtle skin surface deformations caused by muscle activity.
- To investigate the potential application of this sensor in human interface systems.
Main Methods:
- Fabrication of a flexible piezoelectric sensor using oriented aluminum nitride (AlN) thin film (total thickness < 40 µm).
- Utilizing the sensor to measure skin surface morphological changes during muscle movements.
- Developing a motion classification algorithm to interpret sensor data.
- Conducting experiments with a cantilever beam to test sensor response characteristics.
- Performing motion classification experiments with human subjects, including a patient with cervical spine injury.
Main Results:
- The aluminum nitride (AlN) thin film sensor demonstrated high sensitivity, capable of measuring small skin surface strains.
- Experimental validation confirmed the sensor's ability to detect morphological changes associated with muscle movements.
- Motion classification experiments showed the effectiveness of the proposed sensor for human interface applications.
- The sensor's performance was validated across different subjects and conditions, including a patient with a cervical spine injury.
Conclusions:
- The proposed flexible piezoelectric AlN thin film sensor is effective for measuring muscle movements through skin surface changes.
- The developed motion classification method, combined with the sensor, shows significant potential for novel human interface applications.
- This technology offers a sensitive and non-invasive approach to muscle activity monitoring.