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Research of fall detection and fall prevention technologies: A systematic review
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 …
problems among elderly individuals. With the advancements of technologies, falls have …
Trends in human activity recognition using smartphones
Recognizing human activities and monitoring population behavior are fundamental needs of
our society. Population security, crowd surveillance, healthcare support and living …
our society. Population security, crowd surveillance, healthcare support and living …
Deep CNN-LSTM with self-attention model for human activity recognition using wearable sensor
Human Activity Recognition (HAR) systems are devised for continuously observing human
behavior-primarily in the fields of environmental compatibility, sports injury detection, senior …
behavior-primarily in the fields of environmental compatibility, sports injury detection, senior …
[HTML][HTML] UP-fall detection dataset: A multimodal approach
Falls, especially in elderly persons, are an important health problem worldwide. Reliable fall
detection systems can mitigate negative consequences of falls. Among the important …
detection systems can mitigate negative consequences of falls. Among the important …
Unimib shar: A dataset for human activity recognition using acceleration data from smartphones
Smartphones, smartwatches, fitness trackers, and ad-hoc wearable devices are being
increasingly used to monitor human activities. Data acquired by the hosted sensors are …
increasingly used to monitor human activities. Data acquired by the hosted sensors are …
SisFall: A fall and movement dataset
Research on fall and movement detection with wearable devices has witnessed promising
growth. However, there are few publicly available datasets, all recorded with smartphones …
growth. However, there are few publicly available datasets, all recorded with smartphones …
On the personalization of classification models for human activity recognition
Recently, a significant amount of literature concerning machine learning techniques has
focused on automatic recognition of activities performed by people. The main reason for this …
focused on automatic recognition of activities performed by people. The main reason for this …
Activity-aware fall detection and recognition based on wearable sensors
Falling is a severe hazard among older adults. Fall treatment is considered to be one of the
most costly treatments, which usually extends to a long time. One bad fall can cause severe …
most costly treatments, which usually extends to a long time. One bad fall can cause severe …
[HTML][HTML] Fall detection in older adults with mobile IoT devices and machine learning in the cloud and on the edge
Remote monitoring of older adults and detecting dangers in the state of human health have
become essential elements of modern telemedicine. Falls are a frequent reason for deaths …
become essential elements of modern telemedicine. Falls are a frequent reason for deaths …
Review of fall detection techniques: A data availability perspective
A fall is an abnormal activity that occurs rarely; however, missing to identify falls can have
serious health and safety implications on an individual. Due to the rarity of occurrence of …
serious health and safety implications on an individual. Due to the rarity of occurrence of …