Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Raul I. Ramos Garcia"'
Publikováno v:
Sensors, Vol 19, Iss 21, p 4678 (2019)
Globally, cigarette smoking is widespread among all ages, and smokers struggle to quit. The design of effective cessation interventions requires an accurate and objective assessment of smoking frequency and smoke exposure metrics. Recently, wearable
Externí odkaz:
https://doaj.org/article/3310f86d5288446a864c4c8fb830015b
Autor:
Efraín A. Mejía-González, Jessica Estrada-Lechuga, Josue Aaron Lopez-Leyva, Raul I. Ramos-Garcia
Publikováno v:
2019 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE).
In this paper, recognition of leg gestures is performed using Linear Discriminant Analysis in order to propose a real application for prosthetic leg considering transfemoral amputee. As results, the confusion matrix shows the performance of the algor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6b0e939b68eec0abee4a9b3c0a303c7
https://doi.org/10.1109/icmeae.2019.00008
https://doi.org/10.1109/icmeae.2019.00008
Autor:
Raul I. Ramos Garcia, Miguel Ponce, Joel Santos-Aguilar, Josue Lopez, Arturo Arvizu-Mondragón, Mario O. Castaeda, Ariana Talamantes
Publikováno v:
2018 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC).
In this paper, the performance of a QKD system emulated by means of experimental C&DH and Communications subsystems of a CubeSat using a novel proposed technique based on the homologation of propagation models using COTS devices for the classical cha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4c86d0b8f0090352441ff5fb2bcf514
https://doi.org/10.1109/ropec.2018.8661364
https://doi.org/10.1109/ropec.2018.8661364
Publikováno v:
ICBDE
In this paper, a novel teaching-learning method using multi-platform (hardware and software) for improving the high-performance-networks standards understanding is presented. In general, the method is based on the determining the complete performance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75175c07dfc267d917c61e682ea2050e
https://doi.org/10.1145/3206157.3206162
https://doi.org/10.1145/3206157.3206162
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 19:825-831
This paper considers the problem of recognizing eating gestures by tracking wrist motion. Eating gestures are activities commonly undertaken during the consumption of a meal, such as sipping a drink of liquid or using utensils to cut food. Each of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79ca0043152a1fc02cb6f58ef510fa98
https://doi.org/10.1109/jbhi.2014.2329137
https://doi.org/10.1109/jbhi.2014.2329137
Publikováno v:
ICST
This work supports the development of a non-invasive wearable system for the tracking of cigarette smoking in the natural environment. Accurate estimation of lung volume, as well as preservation of calibration over the period of wear, are required fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::040b382106b710830978e403badbbcc4
https://doi.org/10.1109/icsenst.2017.8304419
https://doi.org/10.1109/icsenst.2017.8304419
Autor:
Stephen T. Tiffany, Masudul H. Imtiaz, Edward Sazonov, Volkan Y. Senyurek, Raul I. Ramos-Garcia
Publikováno v:
Electronics; Volume 6; Issue 4; Pages: 104
Electronics, Vol 6, Iss 4, p 104 (2017)
Electronics
Electronics, Vol 6, Iss 4, p 104 (2017)
Electronics
This paper presents the development and validation of a novel multi-sensory wearable system (Personal Automatic Cigarette Tracker v2 or PACT2.0) for monitoring of cigarette smoking in free-living conditions. The contributions of the PACT2.0 system ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfb10be77c4ed2ff76e4d1c252740dad
Publikováno v:
EMBC
Previous studies with the Personal Automatic Cigarette Tracker (PACT) wearable system have found that smoking presents a distinct temporal breathing pattern, which might be well-suited for recognition by hidden Markov models (HMMs). In this work, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56275d9f637cd72a6a620b9f420b1e39
https://doi.org/10.1109/embc.2017.8037056
https://doi.org/10.1109/embc.2017.8037056
Publikováno v:
2016 10th International Conference on Sensing Technology (ICST).
Textile-based sensors are being integrated into garments for the monitoring of physiological signals from the human body. Commonly, textile sensors are implemented through knitting methods, while the response of these sensors from other structures ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0744d3287c68831471c8733349a683c9
https://doi.org/10.1109/icsenst.2016.7796258
https://doi.org/10.1109/icsenst.2016.7796258
Publikováno v:
EMBC
Human activity recognition through wearable sensors is becoming integral to health monitoring and other applications. Typically, human activity is captured through signals from inertial sensors, while signals from other sensors have been utilized les
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c68e34bc4e4cdbed0b14c9c897c3f708
https://doi.org/10.1109/embc.2016.7590668
https://doi.org/10.1109/embc.2016.7590668