Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Homer S. Co"'
Publikováno v:
Innovations in Smart Cities Applications Volume 4 ISBN: 9783030668396
With the ankle considered as one of the more complex joints in the body, it can rotate about all three anatomical axes of rotation and it is crucial for balance and propulsion during walking. However, disabilities and physical injuries to the ankle j
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5052214acdc02c19737125e1dbb1f15
https://doi.org/10.1007/978-3-030-66840-2_69
https://doi.org/10.1007/978-3-030-66840-2_69
Autor:
Noelle Marie D. Espiritu, Senrong Ainsley C. Chen, Tiffany Ann C. Blasa, Francisco Emmanuel T. Munsayac, Rebecca P. Arenos, Renann G. Baldovino, Nilo T. Bugtai, Homer S. Co
Publikováno v:
RiTA
This paper presents the retrofitting and conversion of a standard manually-operated wheelchair to a smart device. This includes the use of an electroencephalography (EEG) based computer interface (BCI) control and integration of an easy-to-assemble m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff013621be0dc0b34f93c2e65c7fded4
https://doi.org/10.1109/ritapp.2019.8932748
https://doi.org/10.1109/ritapp.2019.8932748
Autor:
Lea Monica B. Alonzo, Homer S. Co
Publikováno v:
ACIRS
This research focuses on using photoplethysmogram (PPG) signals for biometric recognition. Specifically, the biometric traits studied are the ensemble empirical mode decomposition (EEMD) and power spectral density (PSD) of the PPG signals. The classi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba5460b0425963767639db974f6a0d42
https://doi.org/10.1109/acirs.2019.8935943
https://doi.org/10.1109/acirs.2019.8935943
Autor:
Homer S. Co, Renann G. Baldovino, Nilo T. Bugtai, Francheska B. Chioson, Lea Monica B. Alonzo
Publikováno v:
2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM).
This study presents a machine learning approach to accurately assess the quality of coconut sugar using RGB values. Python and scikit-learn were used to run the following machine learning algorithms: artificial neural network (ANN), stochastic gradie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f99e210107d49f10d6b179cee23936f4
https://doi.org/10.1109/hnicem.2018.8666315
https://doi.org/10.1109/hnicem.2018.8666315
Autor:
Lea Monica B. Alonzo, Homer S. Co
Publikováno v:
2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM).
Ventricular fibrillation is a type of cardiac arrhythmia which is responsible for several cases of sudden cardiac arrests. As many cases of arrhythmia result to fatality, it is the goal of this research to develop a method to analyze this condition t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b535fe6eb8b9e692bf88cc6a9c8216ee
https://doi.org/10.1109/hnicem.2018.8666241
https://doi.org/10.1109/hnicem.2018.8666241
Autor:
Angelica May M. Obciana, Charles Janoah G. Policarpio, Homer S. Co, Michelle Gan, Shyr-Yi Maria Veronica Liang
Publikováno v:
2018 IEEE 10th International Conference on Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM).
This study analyzes accelerometer patterns from a wearable posture monitoring device worn on the upper back with the purpose of quantifying different postural characteristics. Reliable angular and raw accelerometer inclination data ranges of the huma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06bf2c72ae1fa537972e86889331072a
https://doi.org/10.1109/hnicem.2018.8666255
https://doi.org/10.1109/hnicem.2018.8666255