Latest research trends in fall detection and prevention using machine learning: A systematic review
Falls are unusual actions that cause a significant health risk among older people. The
growing percentage of people of old age requires urgent development of fall detection and …
growing percentage of people of old age requires urgent development of fall detection and …
Challenges, issues and trends in fall detection systems
R Igual, C Medrano, I Plaza - Biomedical engineering online, 2013 - Springer
Since falls are a major public health problem among older people, the number of systems
aimed at detecting them has increased dramatically over recent years. This work presents …
aimed at detecting them has increased dramatically over recent years. This work presents …
Wifall: Device-free fall detection by wireless networks
Injuries that are caused by falls have been regarded as one of the major health threats to the
independent living for the elderly. Conventional fall detection systems have various …
independent living for the elderly. Conventional fall detection systems have various …
A survey on ambient-assisted living tools for older adults
In recent years, we have witnessed a rapid surge in assisted living technologies due to a
rapidly aging society. The aging population, the increasing cost of formal health care, the …
rapidly aging society. The aging population, the increasing cost of formal health care, the …
Remote patient monitoring: a comprehensive study
Healthcare is a field that is rapidly develo** in technology and services. A recent
development in this area is remote monitoring of patients which has many advantages in a …
development in this area is remote monitoring of patients which has many advantages in a …
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 …
A survey on ambient intelligence in healthcare
Ambient Intelligence (AmI) is a new paradigm in information technology aimed at
empowering people's capabilities by means of digital environments that are sensitive …
empowering people's capabilities by means of digital environments that are sensitive …
Human fall detection on embedded platform using depth maps and wireless accelerometer
Since falls are a major public health problem in an aging society, there is considerable
demand for low-cost fall detection systems. One of the main reasons for non-acceptance of …
demand for low-cost fall detection systems. One of the main reasons for non-acceptance of …
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 …
Deep learning for fall detection: Three-dimensional CNN combined with LSTM on video kinematic data
N Lu, Y Wu, L Feng, J Song - IEEE journal of biomedical and …, 2018 - ieeexplore.ieee.org
Fall detection is an important public healthcare problem. Timely detection could enable
instant delivery of medical service to the injured. A popular nonintrusive solution for fall …
instant delivery of medical service to the injured. A popular nonintrusive solution for fall …