IoT-based smart healthcare video surveillance system using edge computing

R Rajavel, SK Ravichandran, K Harimoorthy… - Journal of ambient …, 2022 - Springer
Managing distributed smart surveillance system is identified as a major challenging issue
due to its comprehensive aggregation and analysis of video information on the cloud. In …

Internet of things and deep learning enabled elderly fall detection model for smart homecare

T Vaiyapuri, EL Lydia, MY Sikkandar, VG Díaz… - IEEE …, 2021 - ieeexplore.ieee.org
Recently, the techniques of Internet of Things (IoT) and mobile communications have been
developed to gather human and environment information data for a variety of intelligent …

A HOG-SVM based fall detection IoT system for elderly persons using deep sensor

X Kong, Z Meng, N Nojiri, Y Iwahori, L Meng… - Procedia computer …, 2019 - Elsevier
The population of elderly persons continues to grow at a high rate, and fall accidents in
elderly persons have become a major public health problem. Highly developed IoT …

[HTML][HTML] Secure smart wearable computing through artificial intelligence-enabled internet of things and cyber-physical systems for health monitoring

LK Ramasamy, F Khan, M Shah, BVVS Prasad… - Sensors, 2022 - mdpi.com
The functionality of the Internet is continually changing from the Internet of Computers (IoC)
to the “Internet of Things (IoT)”. Most connected systems, called Cyber-Physical Systems …

IoT based smart health monitoring with CNN using edge computing

S Vimal, YH Robinson, S Kadry, HV Long… - Journal of Internet …, 2021 - jit.ndhu.edu.tw
In the last years, healthcare monitoring has followed a great upwards grown compared to
the past decade with the intrusion of the Internet of Things (IoT). The IoT based health …

Fall detection system for elderly people using IoT and ensemble machine learning algorithm

D Yacchirema, JS de Puga, C Palau… - Personal and Ubiquitous …, 2019 - Springer
Falls represent a major public health risk worldwide for the elderly people. A fall not assisted
in time can cause functional impairment in an elderly and a significant decrease in his …

Human activity recognition based on improved Bayesian convolution network to analyze health care data using wearable IoT device

Z Zhou, H Yu, H Shi - IEEE Access, 2020 - ieeexplore.ieee.org
In the current scenario, it is significant to design active learning paradigms for analyzing
human activities using Wearable Internet of Things (W-IoT) sensors for health parameter …

Development of home intelligent fall detection IoT system based on feedback optical flow convolutional neural network

YZ Hsieh, YL Jeng - Ieee Access, 2017 - ieeexplore.ieee.org
Fall events are important health issues in elderly living environments such as homes.
Hence, a confident and real-time video surveillance device that pays attention could better …

Killer heuristic optimized convolution neural network-based fall detection with wearable IoT sensor devices

A Alarifi, A Alwadain - Measurement, 2021 - Elsevier
Current multi-disciplinary research views falls in the elderly as a significant worldwide public
health risk. Several fall detection systems have been created that use wearable motion …

[HTML][HTML] A survey of IoT-based fall detection for aiding elderly care: sensors, methods, challenges and future trends

ME Karar, HI Shehata, O Reyad - Applied Sciences, 2022 - mdpi.com
Remote monitoring of a fall condition or activities and daily life (ADL) of elderly patients has
become one of the essential purposes for modern telemedicine. Internet of Things (IoT) and …