Human activity recognition via hybrid deep learning based model
In recent years, Human Activity Recognition (HAR) has become one of the most important
research topics in the domains of health and human-machine interaction. Many Artificial …
research topics in the domains of health and human-machine interaction. Many Artificial …
A survey on human-aware robot navigation
Intelligent systems are increasingly part of our everyday lives and have been integrated
seamlessly to the point where it is difficult to imagine a world without them. Physical …
seamlessly to the point where it is difficult to imagine a world without them. Physical …
Automatic recognition of human interaction via hybrid descriptors and maximum entropy markov model using depth sensors
Automatic identification of human interaction is a challenging task especially in dynamic
environments with cluttered backgrounds from video sequences. Advancements in computer …
environments with cluttered backgrounds from video sequences. Advancements in computer …
A human activity recognition system using skeleton data from RGBD sensors
The aim of Active and Assisted Living is to develop tools to promote the ageing in place of
elderly people, and human activity recognition algorithms can help to monitor aged people …
elderly people, and human activity recognition algorithms can help to monitor aged people …
Video-based human activity recognition using deep learning approaches
Due to its capacity to gather vast, high-level data about human activity from wearable or
stationary sensors, human activity recognition substantially impacts people's day-to-day …
stationary sensors, human activity recognition substantially impacts people's day-to-day …
Recurrent neural network for human activity recognition in embedded systems using ppg and accelerometer data
Photoplethysmography (PPG) is a common and practical technique to detect human activity
and other physiological parameters and is commonly implemented in wearable devices …
and other physiological parameters and is commonly implemented in wearable devices …
New sensor data structuring for deeper feature extraction in human activity recognition
For the effective application of thriving human-assistive technologies in healthcare services
and human–robot collaborative tasks, computing devices must be aware of human …
and human–robot collaborative tasks, computing devices must be aware of human …
ActiPPG: Using deep neural networks for activity recognition from wrist-worn photoplethysmography (PPG) sensors
Sensor-based activity recognition seeks to provide higher-level knowledge about human
activities from multiple sensors such as accelerometer and gyroscope. Thanks to growing …
activities from multiple sensors such as accelerometer and gyroscope. Thanks to growing …
[HTML][HTML] Improving posture classification accuracy for depth sensor-based human activity monitoring in smart environments
Smart environments and monitoring systems are popular research areas nowadays due to
its potential to enhance the quality of life. Applications such as human behavior analysis and …
its potential to enhance the quality of life. Applications such as human behavior analysis and …
Robust activity recognition for aging society
Human activity recognition (HAR) is widely applied to many industrial applications. In the
context of Industry 4.0, driven by the same demand of machines' self-organizing ability, HAR …
context of Industry 4.0, driven by the same demand of machines' self-organizing ability, HAR …