Wearable devices are integrated analytical units equipped with sensitive physical, chemical,
and biological sensors capable of noninvasive and continuous monitoring of vital …

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 …

Falls, especially in elderly persons, are an important health problem worldwide. Reliable fall
detection systems can mitigate negative consequences of falls. Among the important …

Smartphones, smartwatches, fitness trackers, and ad-hoc wearable devices are being
increasingly used to monitor human activities. Data acquired by the hosted sensors are …

Research on fall and movement detection with wearable devices has witnessed promising
growth. However, there are few publicly available datasets, all recorded with smartphones …

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 …

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 …

The automatic recognition of human falls is currently an important topic of research for the
computer vision and artificial intelligence communities. In image analysis, it is common to …

Unintentional falls can cause severe injuries and even death, especially if no immediate
assistance is given. A fall detection system aims to detect a fall as soon as it occurs …

Optimizations in logistics require recognition and analysis of human activities. The potential
of sensor-based human activity recognition (HAR) in logistics is not yet well explored …