This article presents an in-depth experimental study of Ensemble Deep Learning techniques
on small datasets for the analysis of time-series data generated by wearable devices. Deep …

Background To meet the needs of aging and dementia patients in Taiwan, this study
designed a nursing system that includes communication, location tracking, and fall …

Health facilities have increased life expectancy, a key factor for the growth of the elderly
population. Elderly people are at increased risk of falls, causing physical and psychological …

Human action recognition using various sensors is a mandatory component of autonomous
vehicles, humanoid robots, and ambient living environments. A particular interest is the …

According to United Nations predictions by 2050, the world's population will reach 9.7
billion, with 70% living in urban areas. Resources like energy, water supply, drainage, and …

Vision-based fall-detection methods have been previously studied but many have limitations
in terms of practicality. Due to differences in rooms, users do not set the camera or sensors …

This paper focuses on falling of the elderly people which is considered as one of the most
critical issue that can face them in their life. To deal with such issue, we propose a new …

The adoption of emergency alerting systems can bring countless benefits when managing
urban areas, industrial plants, farms, roads and virtually any area that is subject to the …

Smart shoes have ushered in a new era of personalised health monitoring and assistive
technologies. Smart shoes leverage technologies such as Bluetooth for data collection and …

society as a whole. Technologies that are able to detect individuals at risk of fall before
occurrence could help reduce this burden by targeting those individuals for rehabilitation to …