Comprehensive review of vision-based fall detection systems
Vision-based fall detection systems have experienced fast development over the last years.
To determine the course of its evolution and help new researchers, the main audience of this …
To determine the course of its evolution and help new researchers, the main audience of this …
Kinect and wearable inertial sensors for motor rehabilitation programs at home: State of the art and an experimental comparison
Background Emerging sensing and communication technologies are contributing to the
development of many motor rehabilitation programs outside the standard healthcare …
development of many motor rehabilitation programs outside the standard healthcare …
[HTML][HTML] Information fusion and artificial intelligence for smart healthcare: a bibliometric study
With the fast progress in information technologies and artificial intelligence (AI), smart
healthcare has gained considerable momentum. By using advanced technologies like AI …
healthcare has gained considerable momentum. By using advanced technologies like AI …
IoT and digital twin enabled smart tracking for safety management
Modern warehousing systems for fresh and cold-keeping storage, have presented
characteristics of complex operation procedures, accelerated operating pace, and high …
characteristics of complex operation procedures, accelerated operating pace, and high …
Robust fall detection in video surveillance based on weakly supervised learning
Fall event detection has been a research hotspot in recent years in the fields of medicine
and health. Currently, vision-based fall detection methods have been considered the most …
and health. Currently, vision-based fall detection methods have been considered the most …
Highly portable, sensor-based system for human fall monitoring
A Mao, X Ma, Y He, J Luo - Sensors, 2017 - mdpi.com
Falls are a very dangerous situation especially among elderly people, because they may
lead to fractures, concussion, and other injuries. Without timely rescue, falls may even …
lead to fractures, concussion, and other injuries. Without timely rescue, falls may even …
Progress and prospects of multimodal fusion methods in physical human–robot interaction: A review
Recent advances in physical Human-Robot Interaction (pHRI) have shown the potential and
feasibility of robot systems for active and safe collaboration with humans. This induces high …
feasibility of robot systems for active and safe collaboration with humans. This induces high …
Technological innovations to assess and include the human dimension in the building-performance loop: A review
The human dimension plays an essential role in the energy performance of buildings and is
considered as significant as technological advances. Several studies highlighted the …
considered as significant as technological advances. Several studies highlighted the …
A multi-modal multi-view dataset for human fall analysis and preliminary investigation on modality
Over the last decade, a large number of methods have been proposed for human fall
detection. Most existing methods were evaluated based on trimmed datasets. More …
detection. Most existing methods were evaluated based on trimmed datasets. More …
eHomeSeniors dataset: An infrared thermal sensor dataset for automatic fall detection research
F Riquelme, C Espinoza, T Rodenas, JG Minonzio… - Sensors, 2019 - mdpi.com
Automatic fall detection is a very active research area, which has grown explosively since
the 2010s, especially focused on elderly care. Rapid detection of falls favors early …
the 2010s, especially focused on elderly care. Rapid detection of falls favors early …