This paper makes four scientific contributions to the field of fall detection in the elderly to
contribute to their assisted living in the future of Internet of Things (IoT)-based pervasive …

Falling, as one of the main harm threats to the elderly, has drawn researchers' attentions and
has always been one of the most valuable research topics in the daily health-care for the …

Fog computing is a recently proposed computing paradigm that extends Cloud computing
and services to the edge of the network. The new features offered by fog computing (eg …

This paper presents a state-of-the-art survey of smartphone (SP)-based solutions for fall
detection and prevention. Falls are considered as major health hazards for both the elderly …

This article is based on the assumption of musical power to change the listener's mood. The
paper studies the outcome of two experiments on the regulation of emotional states in a …

Biomedical research and clinical practice are entering a data-driven era. One of the major
applications of biomedical big data research is to utilize inexpensive and unobtrusive mobile …

Falls, which are increasing at an unprecedented rate in the global elderly population, are
associated with a multitude of needs such as healthcare, medical, caregiver, and economic …

This paper deals with an advanced approach for the monitoring of elders and people with
neurological pathologies (eg, Alzheimer). The system that adopts a multisensor approach is …

Falls are a foremost source of injuries and hospitalization for seniors. The adoption of
automatic fall detection mechanisms can noticeably reduce the response time of the medical …

Health sector is a life critical domain, which requires fast and intelligent decisions. Artificial
intelligence-based monitoring systems can help the elderly people in situations like fall. In e …