A survey on health monitoring systems for health smart homes
Aging population ratios are rising significantly. Health monitoring systems (HMS) in smart
environments have evolved rapidly to become a viable alternative to traditional healthcare …
environments have evolved rapidly to become a viable alternative to traditional healthcare …
A review of deep learning-based human activity recognition on benchmark video datasets
Different types of research have been done on video data using Artificial Intelligence (AI)
deep learning techniques. Most of them are behavior analysis, scene understanding, scene …
deep learning techniques. Most of them are behavior analysis, scene understanding, scene …
Wearable inertial sensors for daily activity analysis based on adam optimization and the maximum entropy Markov model
SBUD Tahir, A Jalal, K Kim - Entropy, 2020 - mdpi.com
Advancements in wearable sensors technologies provide prominent effects in the daily life
activities of humans. These wearable sensors are gaining more awareness in healthcare for …
activities of humans. These wearable sensors are gaining more awareness in healthcare for …
Survey on enterprise Internet-of-Things systems (E-IoT): A security perspective
As technology becomes more widely available, millions of users worldwide have installed
some form of smart device in their homes or workplaces. These devices are often off-the …
some form of smart device in their homes or workplaces. These devices are often off-the …
Automated daily human activity recognition for video surveillance using neural network
M Babiker, OO Khalifa, KK Htike… - 2017 IEEE 4th …, 2017 - ieeexplore.ieee.org
Surveillance video systems are gaining increasing attention in the field of computer vision
due to its demands of users for the seek of security. It is promising to observe the human …
due to its demands of users for the seek of security. It is promising to observe the human …
Star: Sparse transformer-based action recognition
The cognitive system for human action and behavior has evolved into a deep learning
regime, and especially the advent of Graph Convolution Networks has transformed the field …
regime, and especially the advent of Graph Convolution Networks has transformed the field …
Human activity recognition using PCA and BiLSTM recurrent neural networks
AA Aljarrah, AH Ali - 2019 2nd International Conference on …, 2019 - ieeexplore.ieee.org
This paper presents an original approach to Human Activity Recognition (HAR) tasks based
on wearable sensors data. We have trained a Bidirectional Long-Short Term Memory …
on wearable sensors data. We have trained a Bidirectional Long-Short Term Memory …
Toward trustworthy human suspicious activity detection from surveillance videos using deep learning
In today's world, suspicious or unusual activities express threats and danger to others. For
the prevention of various security issues, an automatic video detection system is very …
the prevention of various security issues, an automatic video detection system is very …
Maximum entropy Markov model for human activity recognition using depth camera
Activity recognition is an essential factor in the determination of daily routine of a human
being. There exist numerous Human Activity Recognition (HAR) systems; however, an HAR …
being. There exist numerous Human Activity Recognition (HAR) systems; however, an HAR …
Activity recognition in residential spaces with internet of things devices and thermal imaging
In this paper, we design algorithms for indoor activity recognition and 3D thermal model
generation using thermal images, RGB images, captured from external sensors, and the …
generation using thermal images, RGB images, captured from external sensors, and the …