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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Viegas, V., Dias Pereira, J. M., Postolache, O. & Girão, P. M. (2018). Spy walker: a convenient way to assess gait in walker assistive devices. In 2018 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2018. (pp. 1-6). Houston: IEEE.
Exportar Referência (IEEE)
V. Viegas et al.,  "Spy walker: a convenient way to assess gait in walker assistive devices", in 2018 IEEE Int. Instrumentation and Measurement Technology Conf., I2MTC 2018, Houston, IEEE, 2018, pp. 1-6
Exportar BibTeX
@inproceedings{viegas2018_1713584367666,
	author = "Viegas, V. and Dias Pereira, J. M. and Postolache, O. and Girão, P. M.",
	title = "Spy walker: a convenient way to assess gait in walker assistive devices",
	booktitle = "2018 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2018",
	year = "2018",
	editor = "",
	volume = "",
	number = "",
	series = "",
	doi = "10.1109/I2MTC.2018.8409570",
	pages = "1-6",
	publisher = "IEEE",
	address = "Houston",
	organization = "",
	url = "https://ieeexplore.ieee.org/document/8409570"
}
Exportar RIS
TY  - CPAPER
TI  - Spy walker: a convenient way to assess gait in walker assistive devices
T2  - 2018 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2018
AU  - Viegas, V.
AU  - Dias Pereira, J. M.
AU  - Postolache, O.
AU  - Girão, P. M.
PY  - 2018
SP  - 1-6
DO  - 10.1109/I2MTC.2018.8409570
CY  - Houston
UR  - https://ieeexplore.ieee.org/document/8409570
AB  - This paper presents the Spy Walker, a measurement system intended to characterize gait in walker assistive devices. The proposed system can be easily integrated into any commercial walker without any loss of native functionality. The system makes use of e-textile electrodes to sense the heart rate of the user, load cells to measure the force applied on the walker legs, and an inertial measurement unit to sense motion and orientation. These signals are sampled locally and then transferred over a Bluetooth link to a remote host where they are processed in real time. Data processing includes the detection, classification and characterization of steps. A rich set of parameters is presented for each step, including estimates of unbalance and motor incoordination, travelled distance and azimuth, and lift of the walker frame. This information can be used by a physiotherapist to assess objectively the physical condition of the user, and tune the rehabilitation therapy if needed.
ER  -