[HTML][HTML] Ambient assisted living: scoping review of artificial intelligence models, domains, technology, and concerns
Background Ambient assisted living (AAL) is a common name for various artificial
intelligence (AI)—infused applications and platforms that support their users in need in …
intelligence (AI)—infused applications and platforms that support their users in need in …
A review of abnormal behavior detection in activities of daily living
Abnormal behavior detection (ABD) systems are built to automatically identify and recognize
abnormal behavior from various input data types, such as sensor-based and vision-based …
abnormal behavior from various input data types, such as sensor-based and vision-based …
Synthesizing event-centric knowledge graphs of daily activities using virtual space
Artificial intelligence (AI) is expected to be embodied in software agents, robots, and cyber-
physical systems that can understand the various contextual information of daily life in the …
physical systems that can understand the various contextual information of daily life in the …
A real time crime scene intelligent video surveillance systems in violence detection framework using deep learning techniques
Surveillance system research is now experiencing great expansion. Surveillance cameras
put in public locations such as offices, hospitals, schools, roads, and other locations can be …
put in public locations such as offices, hospitals, schools, roads, and other locations can be …
FriendCare-AAL: a robust social IoT based alert generation system for ambient assisted living
The use of advanced communication technologies such as Internet of Things (IoT) in the
domain of Ambient Assisted Living (AAL) tends to promote the quality of living for elderly …
domain of Ambient Assisted Living (AAL) tends to promote the quality of living for elderly …
Real-time surveillance system for analyzing abnormal behavior of pedestrians
In spite of excellent performance of deep learning-based computer vision algorithms, they
are not suitable for real-time surveillance to detect abnormal behavior because of very high …
are not suitable for real-time surveillance to detect abnormal behavior because of very high …
A Survey on Ambient Sensor-Based Abnormal Behaviour Detection for Elderly People in Healthcare
With advances in machine learning and ambient sensors as well as the emergence of
ambient assisted living (AAL), modeling humans' abnormal behaviour patterns has become …
ambient assisted living (AAL), modeling humans' abnormal behaviour patterns has become …
A framework for constructing and augmenting knowledge graphs using virtual space: Towards analysis of daily activities
Daily living studies typically necessitate the use of a physical environment such as cameras,
sensor networks, or experimental space. Moreover, it is difficult to collect data by flexibly …
sensor networks, or experimental space. Moreover, it is difficult to collect data by flexibly …
A hybrid and context-aware framework for normal and abnormal human behavior recognition
R Mojarad, A Chibani, F Attal, G Khodabandelou… - Soft Computing, 2024 - Springer
Human behavior recognition is one of the significant components of Ambient Assisted Living
(AAL) systems and personal assistive robots allowing to improve the quality of their lives in …
(AAL) systems and personal assistive robots allowing to improve the quality of their lives in …
A context-aware hybrid framework for human behavior analysis
R Mojarad, F Attal, A Chibani… - 2020 IEEE 32nd …, 2020 - ieeexplore.ieee.org
In Ambient Assisted Living (AAL) systems and personal assistive robots, human behavior
analysis is essential to provide intelligent services intended to improve people's quality of …
analysis is essential to provide intelligent services intended to improve people's quality of …