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 …
A review of multimodal human activity recognition with special emphasis on classification, applications, challenges and future directions
Human activity recognition (HAR) is one of the most important and challenging problems in
the computer vision. It has critical application in wide variety of tasks including gaming …
the computer vision. It has critical application in wide variety of tasks including gaming …
Deep-learning-enhanced human activity recognition for Internet of healthcare things
Along with the advancement of several emerging computing paradigms and technologies,
such as cloud computing, mobile computing, artificial intelligence, and big data, Internet of …
such as cloud computing, mobile computing, artificial intelligence, and big data, Internet of …
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 …
Trends in human activity recognition using smartphones
Recognizing human activities and monitoring population behavior are fundamental needs of
our society. Population security, crowd surveillance, healthcare support and living …
our society. Population security, crowd surveillance, healthcare support and living …
Context-aware human activity recognition (CAHAR) in-the-Wild using smartphone accelerometer
Y Asim, MA Azam, M Ehatisham-ul-Haq… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Smartphones are a promising platform for continuous monitoring of human behavior.
However, the ability to capture people's behavioral patterns in-the-wild is a challenge, as the …
However, the ability to capture people's behavioral patterns in-the-wild is a challenge, as the …
A human activity recognition algorithm based on stacking denoising autoencoder and lightGBM
X Gao, H Luo, Q Wang, F Zhao, L Ye, Y Zhang - Sensors, 2019 - mdpi.com
Recently, the demand for human activity recognition has become more and more urgent. It is
widely used in indoor positioning, medical monitoring, safe driving, etc. Existing activity …
widely used in indoor positioning, medical monitoring, safe driving, etc. Existing activity …
Internet of Things centric-based multiactivity recognition in smart home environment
T Perumal, E Ramanujam, S Suman… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
In recent times, numerous human activity recognition (HAR) schemes have been proposed
with embedding sensors, wearable devices, smart phones, and vision and ambient sensors …
with embedding sensors, wearable devices, smart phones, and vision and ambient sensors …
Design of a wearable wireless multi-sensor monitoring system and application for activity recognition using deep learning
G Ascioglu, Y Senol - IEEE Access, 2020 - ieeexplore.ieee.org
Human activity monitoring and recognition systems assist experts in evaluating various
health problems including obesity, cardiac diseases and, sports injury detection. However …
health problems including obesity, cardiac diseases and, sports injury detection. However …
Docker-based intelligent fall detection using edge-fog cloud infrastructure
Health sector is a life critical domain, which requires fast and intelligent decisions. Artificial
intelligence-based monitoring systems can help the elderly people in situations like fall. In e …
intelligence-based monitoring systems can help the elderly people in situations like fall. In e …