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 …
A multimodal approach using deep learning for fall detection
YM Galvão, J Ferreira, VA Albuquerque… - Expert Systems with …, 2021 - Elsevier
A computational system able to automatically and efficiently detect and classify falls would
be beneficial for monitoring the elderly population and speed up the assistance …
be beneficial for monitoring the elderly population and speed up the assistance …
Activity recognition and abnormal behaviour detection with recurrent neural networks
D Arifoglu, A Bouchachia - Procedia Computer Science, 2017 - Elsevier
In this paper, we study the problem of activity recognition and abnormal behaviour detection
for elderly people with dementia. Very few studies have attempted to address this problem …
for elderly people with dementia. Very few studies have attempted to address this problem …
SmartFABER: Recognizing fine-grained abnormal behaviors for early detection of mild cognitive impairment
Objective In an ageing world population more citizens are at risk of cognitive impairment,
with negative consequences on their ability of independent living, quality of life and …
with negative consequences on their ability of independent living, quality of life and …
Unsupervised recognition of interleaved activities of daily living through ontological and probabilistic reasoning
Recognition of activities of daily living (ADLs) is an enabling technology for several
ubiquitous computing applications. In this field, most activity recognition systems rely on …
ubiquitous computing applications. In this field, most activity recognition systems rely on …
Knowledge-based anomaly detection: Survey, challenges, and future directions
Due to the rapidly increasing number of Internet-connected objects, a huge amount of data
is created, stored, and shared. Depending on the use case, this data is visualized, cleaned …
is created, stored, and shared. Depending on the use case, this data is visualized, cleaned …
Wearable sensor-based behavioral anomaly detection in smart assisted living systems
Detecting behavioral anomalies in human daily life is important to develo** smart assisted-
living systems for elderly care. Based on data collected from wearable motion sensors and …
living systems for elderly care. Based on data collected from wearable motion sensors and …
The body is the network: To safeguard sensitive data, turn flesh and tissue into a secure wireless channel
IN 2007, US VICE PRESIDENT Dick Cheney ordered his doctors to disable all wireless
signals to and from his Internet-connected pacemaker. Cheney later said that the decision …
signals to and from his Internet-connected pacemaker. Cheney later said that the decision …
Are smart homes adequate for older adults with dementia?
Smart home technologies can enable older adults, including those with dementia, to live
more independently in their homes for a longer time. Activity recognition, in combination with …
more independently in their homes for a longer time. Activity recognition, in combination with …
Fine-grained recognition of abnormal behaviors for early detection of mild cognitive impairment
According to the World Health Organization, the rate of people aged 60 or more is growing
faster than any other age group in almost every country, and this trend is not going to …
faster than any other age group in almost every country, and this trend is not going to …