Zobrazeno 1 - 10
of 30
pro vyhledávání: '"M'hamed Bilal Abidine"'
Publikováno v:
Information, Vol 6, Iss 3, Pp 505-521 (2015)
Feature extraction and classification are two key steps for activity recognition in a smart home environment. In this work, we used three methods for feature extraction: Principal Component Analysis (PCA), Independent Component Analysis (ICA), and Li
Externí odkaz:
https://doaj.org/article/c8c306b8989b4039853541d65edafec3
Publikováno v:
Sensor Review. 42:384-401
Purpose Mobile phone-based human activity recognition (HAR) consists of inferring user’s activity type from the analysis of the inertial mobile sensor data. This paper aims to mainly introduce a new classification approach called adaptive k-nearest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fba3220a7d4ef7c4f2b072709ad15a1
https://doi.org/10.1108/sr-05-2021-0157
https://doi.org/10.1108/sr-05-2021-0157
Publikováno v:
International Journal of Software Innovation. 9:67-87
This article describes a new scheme for a physical activity recognition process based on carried smartphone embedded sensors, such as accelerometer and gyroscope. For this purpose, the WKNN-SVM algorithm has been proposed to predict physical activiti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b39b4534a39cb895a038cf1069669373
https://doi.org/10.4018/ijsi.289170
https://doi.org/10.4018/ijsi.289170
Publikováno v:
2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8543ce09099e89a2048bd7a6e643e512
https://doi.org/10.1109/sta56120.2022.10019099
https://doi.org/10.1109/sta56120.2022.10019099
Publikováno v:
International Journal of E-Health and Medical Communications. 12:1-20
A lot of real-life mobile sensing applications are becoming available nowadays. The traditional approach for activity recognition employs machine learning algorithms to learn from collected data from smartphpne and induce a model. The model generatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b5fb53780b76a569b6486823038b283
https://doi.org/10.4018/ijehmc.20211101.oa11
https://doi.org/10.4018/ijehmc.20211101.oa11
Publikováno v:
Intelligenza Artificiale. 15:1-15
Mobile phone based activity recognition uses data obtained from embedded sensors to infer user’s physical activities. The traditional approach for activity recognition employs machine learning algorithms to learn from collected labeled data and ind
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aec19c581b11f0b40340e20a71e00cbb
https://doi.org/10.3233/ia-200059
https://doi.org/10.3233/ia-200059
