Sensor-based and vision-based human activity recognition: A comprehensive survey
Human activity recognition (HAR) technology that analyzes data acquired from various types
of sensing devices, including vision sensors and embedded sensors, has motivated the …
of sensing devices, including vision sensors and embedded sensors, has motivated the …
Human action recognition: A taxonomy-based survey, updates, and opportunities
Human action recognition systems use data collected from a wide range of sensors to
accurately identify and interpret human actions. One of the most challenging issues for …
accurately identify and interpret human actions. One of the most challenging issues for …
IoT in smart cities: A survey of technologies, practices and challenges
AS Syed, D Sierra-Sosa, A Kumar, A Elmaghraby - Smart Cities, 2021 - mdpi.com
Internet of Things (IoT) is a system that integrates different devices and technologies,
removing the necessity of human intervention. This enables the capacity of having smart (or …
removing the necessity of human intervention. This enables the capacity of having smart (or …
Vision-based human activity recognition: a survey
Human activity recognition (HAR) systems attempt to automatically identify and analyze
human activities using acquired information from various types of sensors. Although several …
human activities using acquired information from various types of sensors. Although several …
A survey on unsupervised learning for wearable sensor-based activity recognition
Abstract Human Activity Recognition (HAR) is an essential task in various applications such
as pervasive healthcare, smart environment, and security and surveillance. The need to …
as pervasive healthcare, smart environment, and security and surveillance. The need to …
[HTML][HTML] Detection of objects in the images: from likelihood relationships towards scalable and efficient neural networks
NA Andriyanov, VE Dementiev, AG Tashlinskii - Computer Optics, 2022 - computeroptics.ru
The relevance of the tasks of detecting and recognizing objects in images and their
sequences has only increased over the years. Over the past few decades, a huge number of …
sequences has only increased over the years. Over the past few decades, a huge number of …
A survey on COVID-19 impact in the healthcare domain: worldwide market implementation, applications, security and privacy issues, challenges and future prospects
Extensive research has been conducted on healthcare technology and service
advancements during the last decade. The Internet of Medical Things (IoMT) has …
advancements during the last decade. The Internet of Medical Things (IoMT) has …
Review on deep learning approaches for anomaly event detection in video surveillance
In the last few years, due to the continuous advancement of technology, human behavior
detection and recognition have become important scientific research in the field of computer …
detection and recognition have become important scientific research in the field of computer …
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 …
Internet of Things for enabling smart environments: A technology-centric perspective
The Internet of Things (IoT) is a computing paradigm whereby everyday life objects are
augmented with computational and wireless communication capabilities, typically through …
augmented with computational and wireless communication capabilities, typically through …