Exportar Publicação

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) 
Monge, J. & Postolache, O. (2018). Augmented reality and smart sensors for physical rehabilitation. In International Conference and Exposition on Electrical And Power Engineering, EPE 2018. (pp. 1010-1014). Iasi: IEEE.
Exportar Referência (IEEE) 
J. P. Monge and O. A. Postolache,  "Augmented reality and smart sensors for physical rehabilitation", in Int. Conf. and Expo. on Electrical And Power Engineering, EPE 2018, Iasi, IEEE, 2018, pp. 1010-1014
Exportar BibTeX 
@inproceedings{monge2018_1775872110309,
	author = "Monge, J. and Postolache, O.",
	title = "Augmented reality and smart sensors for physical rehabilitation",
	booktitle = "International Conference and Exposition on Electrical And Power Engineering, EPE 2018",
	year = "2018",
	editor = "",
	volume = "",
	number = "",
	series = "",
	doi = "10.1109/ICEPE.2018.8559935",
	pages = "1010-1014",
	publisher = "IEEE",
	address = "Iasi",
	organization = "",
	url = "https://ieeexplore.ieee.org/document/8559935"
}
Exportar RIS 
TY  - CPAPER
TI  - Augmented reality and smart sensors for physical rehabilitation
T2  - International Conference and Exposition on Electrical And Power Engineering, EPE 2018
AU  - Monge, J.
AU  - Postolache, O.
PY  - 2018
SP  - 1010-1014
DO  - 10.1109/ICEPE.2018.8559935
CY  - Iasi
UR  - https://ieeexplore.ieee.org/document/8559935
AB  - The smart physical rehabilitation becomes a new reality and challenge regarding the technology adoption by the users and high costs. In this context, the paper presents a smart physical rehabilitation system that combines augmented reality serious games and wearable sensor network to improve the patient engagement during physical rehabilitation. The implemented system provides also health status assessment acquiring vital data to be analyzed by clinical professionals. The wearable sensing is based on the Simblee platform that captures kinematic and dynamic quantities associated with lower limb motion using an IMU as so as the muscular activation and cardiac activity. The Healthcare IoT compatibility is assured by an augmented reality platform based on iOS smart phone that communicates with wearable wireless sensor network and after primary processing of the data it uploads the analyzed in an AWS cloud based web platform.
ER  -