A Smartphone-based Posture Measurement System for Physical Therapy Applications - Synchronization of Multiple Devices via Bluetooth Network

Noriaki Ikeda, Kai Ishida, Yoshitaka Shiba, Kousuke Mizuno, Noritaka Mamorita, Akihiro Takeuchi

2013

Abstract

A smartphone-based measurement system was developed for the purpose of measuring time series data for posture in the physical therapy field. We used the iPod touch (Apple Inc.) as hardware and iOS SDK as a software development tool. Posture data (pitch, roll and yaw) were taken directly from Euler angles or by transformation from quaternion data (qw, qx, qy, qz) to the Euler angles, depending on the orientation of the device. This approach allows continuity of data values. Data were stored in the Documents directory of the iOS Appli as a file in CSV format, which can be transferred to a PC via iTunes or sent by email as an attached file if a WiFi environment is available. In order to synchronize two devices, communication via Bluetooth was implemented. The accuracy of the data was checked by comparing with the OPTOTRAK data. Variation of posture while standing still and walking was recorded using this system for 50 elderly subjects.

Paper Citation

in Harvard Style

Ikeda N., Ishida K., Shiba Y., Mizuno K., Mamorita N. and Takeuchi A. (2013). A Smartphone-based Posture Measurement System for Physical Therapy Applications - Synchronization of Multiple Devices via Bluetooth Network . In Proceedings of the 2nd International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-8565-45-7, pages 80-83. DOI: 10.5220/0004203600800083

in Bibtex Style

@conference{sensornets13,
author={Noriaki Ikeda and Kai Ishida and Yoshitaka Shiba and Kousuke Mizuno and Noritaka Mamorita and Akihiro Takeuchi},
title={A Smartphone-based Posture Measurement System for Physical Therapy Applications - Synchronization of Multiple Devices via Bluetooth Network},
booktitle={Proceedings of the 2nd International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2013},
pages={80-83},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004203600800083},
isbn={978-989-8565-45-7},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - A Smartphone-based Posture Measurement System for Physical Therapy Applications - Synchronization of Multiple Devices via Bluetooth Network
SN - 978-989-8565-45-7
AU - Ikeda N.
AU - Ishida K.
AU - Shiba Y.
AU - Mizuno K.
AU - Mamorita N.
AU - Takeuchi A.
PY - 2013
SP - 80
EP - 83
DO - 10.5220/0004203600800083