In recent years, research on convolutional neural networks (CNN) and recurrent neural
networks (RNN) in deep learning has been actively conducted. In order to provide more …

Polysomnography (PSG) is the standard test for diagnosing sleep apnea. However, the
approach is obtrusive, time-consuming, and with limited access for patients in need of sleep …

The number of smart homes is rapidly increasing. Smart homes typically feature functions
such as voice-activated functions, automation, monitoring, and tracking events. Besides …

Falls are the major problem of today's world and are a serious public health hazard. As per
WHO reports, a large number of deaths and injuries occur every year due to falls. The cost of …

The work investigates the application of artificial neural networks and logistic regression for
the recognition of activities performed by room occupants. KNX (Konnex) standard-based …

In actuality, falls increase exponentially with age or with older biological changes, leading in
a high rate of falls and eventually fall injuries in ageing populations. Assistive technologies …

Falls among the elderly are a major worry for both the elderly and their care-takers, as falls
frequently result in severe physical injury. Detecting falls using Internet of Things (IoT) …

Resumen en español Este trabajo de grado presenta la implementación de un dispositivo
IoT para la detección de caídas en adultos mayores, de igual manera el uso de la …

In recent years, research on convolutional neural networks (CNN) and recurrent neural
networks (RNN) in deep learning has been actively conducted. In order to provide more …

Sleep Apnea (SA) is a common disorder that affects approximately 2% of middle-aged
women and 4% of middle-aged men. It is characterized by repetitive cessation of breathing …