A survey of IoT-based fall detection for aiding elderly care: Sensors, methods, challenges and future trends
Remote monitoring of a fall condition or activities and daily life (ADL) of elderly patients has
become one of the essential purposes for modern telemedicine. Internet of Things (IoT) and …
become one of the essential purposes for modern telemedicine. Internet of Things (IoT) and …
Analysis of public datasets for wearable fall detection systems
Due to the boom of wireless handheld devices such as smartwatches and smartphones,
wearable Fall Detection Systems (FDSs) have become a major focus of attention among the …
wearable Fall Detection Systems (FDSs) have become a major focus of attention among the …
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 …
The mobiact dataset: Recognition of activities of daily living using smartphones
G Vavoulas, C Chatzaki, T Malliotakis… - … on information and …, 2016 - scitepress.org
The use of smartphones for human activity recognition has become popular due to the wide
adoption of smartphones and their rich sensing features. This article introduces a …
adoption of smartphones and their rich sensing features. This article introduces a …
Umafall: A multisensor dataset for the research on automatic fall detection
The progress in the field of inertial sensor technology and the widespread popularity of
personal electronics such as smartwatches or smartphones have prompted the research on …
personal electronics such as smartwatches or smartphones have prompted the research on …
Improving activity recognition accuracy in ambient-assisted living systems by automated feature engineering
Ambient-assisted living (AAL) is promising to become a supplement of the current care
models, providing enhanced living experience to people within context-aware homes and …
models, providing enhanced living experience to people within context-aware homes and …
Activity recognition in beach volleyball using a Deep Convolutional Neural Network: Leveraging the potential of Deep Learning in sports
Many injuries in sports are caused by overuse. These injuries are a major cause for reduced
performance of professional and non-professional beach volleyball players. Monitoring of …
performance of professional and non-professional beach volleyball players. Monitoring of …
Improving fall detection using an on-wrist wearable accelerometer
Fall detection is a very important challenge that affects both elderly people and the carers.
Improvements in fall detection would reduce the aid response time. This research focuses …
Improvements in fall detection would reduce the aid response time. This research focuses …
Human activity recognition using multisensor data fusion based on reservoir computing
Activity recognition plays a key role in providing activity assistance and care for users in
smart homes. In this work, we present an activity recognition system that classifies in the …
smart homes. In this work, we present an activity recognition system that classifies in the …
A study on the application of convolutional neural networks to fall detection evaluated with multiple public datasets
Due to the repercussion of falls on both the health and self-sufficiency of older people and
on the financial sustainability of healthcare systems, the study of wearable fall detection …
on the financial sustainability of healthcare systems, the study of wearable fall detection …