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Abdelfettah Salah Belghith

Professor

Faculty

علوم الحاسب والمعلومات
Building 31, Second Floor, Office 2202
المنشورات
ورقة مؤتمر
2018

WBAN Path Loss Based Approach For Human Activity Recognition With Machine Learning Techniques (2018)

Belghith, Abdelfettah . 2018

Wireless Body Area Networks are nowadays attracting
both academic and industrial worlds. Combining collected
data related to patient context with original health measurement
can enhance the general health state monitoring and help to better
understand the patient disease evolution. Daily activity is one
of the important features that may influence the patient health
state. Thus, recognizing the user activity can be a useful way
for improving quality of health services. Relying on supervised
learning, we study the feasibility of extracting and classifying
the human activities from channel gain measures, which is an
important feature that characterizes the WBAN channel links.

موقع المؤتمر
Limassol, Cyprus
اسم المؤتمر
The 14th International Wireless Communications and Mobile Computing Conference (IWCMC'18)
المنظمة الممولة
IEEE
مزيد من المنشورات
publications

In Wireless Body Area Networks (WBANs), it is crucial to ensure reliable and timely delivery of gathered data, despite their intrinsic challenges related to limited resources at the sensor level…

بواسطة Abdelfettah Belghith
2023
تم النشر فى:
Elsevier
publications

Media streaming and consumer mobility are already prevalent on the internet. Audio and video streaming traffic continues to grow and currently accounts for over 70% of global traffic. User…

بواسطة Abdelfettah Belghith
2023
تم النشر فى:
Elsevier
publications

Named Data Networking (NDN) is considered an appropriate architecture for IoT as it naturally supports consumer mobility and provides in-network caching capabilities as leverage to meet IoT…

بواسطة Abdelfettah Belghith
2023
تم النشر فى:
Elsevier