Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Norazman Shahar"'
Publikováno v:
IEEE Access, Vol 12, Pp 113300-113313 (2024)
This study aims to investigate the alternative model structure based on a feature selection algorithm on multiple features-framework of human activity recognition (HAR) via wearable sensor-based modality. Neighborhood component analysis (NCA) is a li
Externí odkaz:
https://doaj.org/article/2393a68cc45e449da03cb30ac2426c26
Publikováno v:
2022 2nd International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA).
Publikováno v:
Bulletin of Electrical Engineering and Informatics. 9:238-246
This paper proposes a stair walking detection via Long-short Term Memory (LSTM) network to prevent stair fall event happen by alerting caregiver for assistance as soon as possible. The tri-axial accelerometer and gyroscope data of five activities of
Autor:
Muhammad Amir As'ari, Nurul Fathiah Ghazali, Tian Swee Tan, Norazman Shahar, Mohamad Fauzi Ibrahim
Publikováno v:
Enhancing Health and Sports Performance by Design ISBN: 9789811532696
Sport activity recognition has become one of the primary sport performance analysis contributions as it offers a notational data for tactical analysis and planning. In developing of activity recognition algorithm, searching for the best window segmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab6598b5588a67adf01e80e3588fdef9
https://doi.org/10.1007/978-981-15-3270-2_31
https://doi.org/10.1007/978-981-15-3270-2_31
Autor:
Norazman Shahar, Nurul Fathiah Ghazali, Nur Anis Jasmin Sufri, Nur Azmina Rahmad, Muhammad Amir As'ari
Publikováno v:
2019 IEEE 10th Control and System Graduate Research Colloquium (ICSGRC).
Visually impaired people faced a problem in identifying and recognizing the different types of banknote due to some reasons. This problem draws researchers’ attention to introduce an automated banknote recognition system that can be divided into a
Publikováno v:
Journal of Physics: Conference Series. 1529:022015
Having a systemic system in recognizing activity in sports is very essential along with enhancing the performance analysis in sport. As the system is required to provide a quality, reliable and unbiased notational data for determining the strength an
Publikováno v:
2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE).
Signal segmentation is one of the most important processes in the activity recognition process. So far, windowing approaches is one of the commonly used segmentation technique to segment the data. The window size used to segment the data usually chos
Autor:
Nurul Fathiah Ghazali, Norazman Shahar, H. F. M Latif, Nur Anis Jasmin Sufri, Nur Azmina Rahmad, Muhammad Amir As'ari
Publikováno v:
2018 IEEE 14th International Colloquium on Signal Processing & Its Applications (CSPA).
This paper aims to identify common sport activity recognition by using inertial sensor. Various classifiers from the Classification Learner App in MATLAB is used to recognize the common sport activity. In data collection, 10 subjects are asked to per
Autor:
Nur Anis Jasmin Sufri, Nurul Fathiah Ghazali, Nur Azmina Rahmad, Muhammad Amir As'ari, Norazman Shahar
Publikováno v:
Indonesian Journal of Electrical Engineering and Computer Science. 11:987
Sport performance analysis which is crucial in sport practice is used to improve the performance of athletes during the games. Many studies and investigation have been done in detecting different movements of player for notational analysis using eith