Background The phenomenon of the increasing number of ageing people in the world is arguably the most significant economic, health and social challenge that we face today …
TR Mauldin, ME Canby, V Metsis, AHH Ngu, CC Rivera - Sensors, 2018 - mdpi.com
This paper presents SmartFall, an Android app that uses accelerometer data collected from a commodity-based smartwatch Internet of Things (IoT) device to detect falls. The …
Human activity recognition has attracted the attention of researchers around the world. This is an interesting problem that can be addressed in different ways. Many approaches have …
L Ren, Y Peng - IEEE Access, 2019 - ieeexplore.ieee.org
Falls are abnormal activity events that occur infrequently; however, they are serious health problems among elderly individuals. With the advancements of technologies, falls have …
P Bet, PC Castro, MA Ponti - International journal of medical informatics, 2019 - Elsevier
Background wearable sensors are often used to acquire data for gait analysis as a strategy to study fall events, due to greater availability of acquisition platforms, and advances in …
This review aims to present current advancements in wearable technologies and IoT-based applications to support independent living. The secondary aim was to investigate the …
The risk of falls in older adults restrict their social life and independent living. The assisted living devices help older adults to live independently in their home, giving a psychological …
The automatic recognition of human falls is currently an important topic of research for the computer vision and artificial intelligence communities. In image analysis, it is common to …
Unintentional falls can cause severe injuries and even death, especially if no immediate assistance is given. A fall detection system aims to detect a fall as soon as it occurs …