Sensor technologies for fall detection systems: A review
A Singh, SU Rehman, S Yongchareon… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
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 …
living devices help older adults to live independently in their home, giving a psychological …
[HTML][HTML] Health monitoring using smart home technologies: Scoping review
Background The Internet of Things (IoT) has become integrated into everyday life, with
devices becoming permanent fixtures in many homes. As countries face increasing pressure …
devices becoming permanent fixtures in many homes. As countries face increasing pressure …
A framework for fall detection based on OpenPose skeleton and LSTM/GRU models
Falling is one of the causes of accidental death of elderly people over 65 years old in
Taiwan. If the fall incidents are not detected in a timely manner, it could lead to serious injury …
Taiwan. If the fall incidents are not detected in a timely manner, it could lead to serious injury …
Human fall detection in surveillance videos using fall motion vector modeling
Representation of spatio-temporal properties of human body silhouette and human-to-
ground relationship, significantly contribute to the fall detection process. So, we propose an …
ground relationship, significantly contribute to the fall detection process. So, we propose an …
Fall detection with UWB radars and CNN-LSTM architecture
Fall detection is a major challenge for researchers. Indeed, a fall can cause injuries such as
femoral neck fracture, brain hemorrhage, or skin burns, leading to significant pain. However …
femoral neck fracture, brain hemorrhage, or skin burns, leading to significant pain. However …
[HTML][HTML] Machine learning research towards combating COVID-19: Virus detection, spread prevention, and medical assistance
COVID-19 was first discovered in December 2019 and has continued to rapidly spread
across countries worldwide infecting thousands and millions of people. The virus is deadly …
across countries worldwide infecting thousands and millions of people. The virus is deadly …
Device-free localization: A review of non-RF techniques for unobtrusive indoor positioning
F Alam, N Faulkner, B Parr - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Accurate, reliable indoor localization or positioning is the key enabler for location-based
services. Indoor localization can be broadly classified into two distinct categories. Active …
services. Indoor localization can be broadly classified into two distinct categories. Active …
Development of a real-time wearable fall detection system in the context of internet of things
Z Qian, Y Lin, W Jing, Z Ma, H Liu, R Yin… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Fall detection is of increasing significance in terms of the health monitoring of the elderly and
disabled people, as falls may lead to physical injuries or even mental trauma. The existing …
disabled people, as falls may lead to physical injuries or even mental trauma. The existing …
WiWeHAR: Multimodal human activity recognition using Wi-Fi and wearable sensing modalities
Robust and accurate human activity recognition (HAR) systems are essential to many
human-centric services within active assisted living and healthcare facilities. Traditional …
human-centric services within active assisted living and healthcare facilities. Traditional …
Future frame prediction network for human fall detection in surveillance videos
S Li, X Song - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Video fall detection is one of the most significant challenges in computer vision domain, and
it usually involves the recognition of events that do not conform to expected falls. Recently, a …
it usually involves the recognition of events that do not conform to expected falls. Recently, a …