Non-intrusive human activity recognition and abnormal behavior detection on elderly people: A review
With the world population aging at a fast rate, ambient assisted living systems focused on
elderly people gather more attention. Human activity recognition (HAR) is a component …
elderly people gather more attention. Human activity recognition (HAR) is a component …
Performance, challenges, and limitations in multimodal fall detection systems: A review
Fall events among older adults are a serious concern, having an impact on their health and
well-being. The development of the Internet of Things (IoT) over the last years has led to the …
well-being. The development of the Internet of Things (IoT) over the last years has led to the …
On the comparison of wearable sensor data fusion to a single sensor machine learning technique in fall detection
In the context of the ageing global population, researchers and scientists have tried to find
solutions to many challenges faced by older people. Falls, the leading cause of injury …
solutions to many challenges faced by older people. Falls, the leading cause of injury …
Challenges and issues in multisensor fusion approach for fall detection
Emergency situations associated with falls are a serious concern for an aging society. Yet
following the recent development within ICT, a significant number of solutions have been …
following the recent development within ICT, a significant number of solutions have been …
Estimation of human body vital signs based on 60 GHz Doppler radar using a bound-constrained optimization algorithm
In this study, a bound-constrained optimization algorithm is applied for estimating
physiological data (pulse and breathing rate) of human body using 60 GHz Doppler radar …
physiological data (pulse and breathing rate) of human body using 60 GHz Doppler radar …
A survey on multi-sensor fusion techniques in IoT for healthcare
In Internet of things (IoT) dedicated for healthcare, heterogeneous data can be gathered
from different body sensors, environmental sensors and other data sources such as …
from different body sensors, environmental sensors and other data sources such as …
Image-based fall detection and classification of a user with a walking support system
The classification of visual human action is important in the development of systems that
interact with humans. This study investigates an image-based classification of the human …
interact with humans. This study investigates an image-based classification of the human …
Autoregressive-moving-average hidden Markov model for vision-based fall prediction—An application for walker robot
Population aging of the societies requires providing the elderly with safe and dependable
assistive technologies in daily life activities. Improving the fall detection algorithms can play …
assistive technologies in daily life activities. Improving the fall detection algorithms can play …
Contributions to interoperability, scalability and formalization of personal health systems
A Brugués de la Torre - 2016 - upcommons.upc.edu
The ageing of the world's population combined with unhealthy lifestyles are contributing to a
major prevalence of chronic diseases. This scenario poses the challenge of providing good …
major prevalence of chronic diseases. This scenario poses the challenge of providing good …
Multi-frame decision fusion based on evidential association rule mining for target identification
In the multi-sensor target identification problem involving multiple frames, it is important to
fuse the potential information characterizing inherent relations among frames with uncertain …
fuse the potential information characterizing inherent relations among frames with uncertain …