A survey of IoT-based fall detection for aiding elderly care: Sensors, methods, challenges and future trends

ME Karar, HI Shehata, O Reyad - Applied Sciences, 2022 - mdpi.com
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 …

Analysis of public datasets for wearable fall detection systems

E Casilari, JA Santoyo-Ramón, JM Cano-García - Sensors, 2017 - mdpi.com
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 …

Unimib shar: A dataset for human activity recognition using acceleration data from smartphones

D Micucci, M Mobilio, P Napoletano - Applied Sciences, 2017 - mdpi.com
Smartphones, smartwatches, fitness trackers, and ad-hoc wearable devices are being
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 …

Umafall: A multisensor dataset for the research on automatic fall detection

E Casilari, JA Santoyo-Ramón… - Procedia Computer …, 2017 - Elsevier
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 …

Improving activity recognition accuracy in ambient-assisted living systems by automated feature engineering

E Zdravevski, P Lameski, V Trajkovik, A Kulakov… - Ieee …, 2017 - ieeexplore.ieee.org
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 …

Activity recognition in beach volleyball using a Deep Convolutional Neural Network: Leveraging the potential of Deep Learning in sports

T Kautz, BH Groh, J Hannink, U Jensen… - Data Mining and …, 2017 - Springer
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 …

Improving fall detection using an on-wrist wearable accelerometer

SB Khojasteh, JR Villar, C Chira, VM González… - Sensors, 2018 - mdpi.com
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 …

Human activity recognition using multisensor data fusion based on reservoir computing

F Palumbo, C Gallicchio, R Pucci… - Journal of Ambient …, 2016 - content.iospress.com
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 …

A study on the application of convolutional neural networks to fall detection evaluated with multiple public datasets

E Casilari, R Lora-Rivera, F García-Lagos - Sensors, 2020 - mdpi.com
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 …