Saeed Ali Alsareii¹, Mohsin Raza², Abdulrahman Manaa Alamri¹, Mansour Yousef AlAsmari¹, Muhammad Irfan³, Hasan Raza⁴, Muhammad Awais^2,*

CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 3833-3848, 2023, DOI:10.32604/cmc.2023.035686

Abstract Obesity poses several challenges to healthcare and the well-being of individuals. It can be linked to several life-threatening diseases. Surgery is a viable option in some instances to reduce obesity-related risks and enable weight loss. State-of-the-art technologies have the potential for long-term benefits in post-surgery living. In this work, an Internet of Things (IoT) framework is proposed to effectively communicate the daily living data and exercise routine of surgery patients and patients with excessive weight. The proposed IoT framework aims to enable seamless communications from wearable sensors and body networks to the cloud to create an accurate profile of the… More >

Adnan Nadeem^1,*, Amir Mehmood², Kashif Rizwan³, Muhammad Ashraf⁴, Nauman Qadeer³, Ali Alzahrani¹, Qammer H. Abbasi⁵, Fazal Noor¹, Majed Alhaisoni⁶, Nadeem Mahmood⁷

CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 6065-6080, 2023, DOI:10.32604/cmc.2023.035012

Abstract This paper presents a large gathering dataset of images extracted from publicly filmed videos by 24 cameras installed on the premises of Masjid Al-Nabvi, Madinah, Saudi Arabia. This dataset consists of raw and processed images reflecting a highly challenging and unconstraint environment. The methodology for building the dataset consists of four core phases; that include acquisition of videos, extraction of frames, localization of face regions, and cropping and resizing of detected face regions. The raw images in the dataset consist of a total of 4613 frames obtained from video sequences. The processed images in the dataset consist of the face… More >