Falls are unusual actions that cause a significant health risk among older people. The
growing percentage of people of old age requires urgent development of fall detection and …

The Internet of things (IoT) has emerged as a topic of intense interest among the research
and industrial community as it has had a revolutionary impact on human life. The rapid …

Modern warehousing systems for fresh and cold-keeping storage, have presented
characteristics of complex operation procedures, accelerated operating pace, and high …

The health status of an elderly person can be identified by examining the additive effects of
aging along with disease linked to it and can lead to 'unstable incapacity'. This health status …

Prior detection for high risk of falls in elderly people is an essential and challenging task.
Wearable sensors have already proven as beneficial resource in monitoring daily living …

Falls are the leading cause of fatal injuries in the elderly such as fractures, and secondary
damage from falls can lead to death. As such, fall detection is a crucial topic. However, due …

With sensor-based wearable technologies, high precision monitoring and recognition of
human physical activities in real time is becoming more critical to support the daily living …

Human activity recognition (HAR) is a significant research area due to its wide range of
applications in intelligent health systems, security, and entertainment games. Over the past …

In the realm of sustainable IoT and AI applications for the well-being of elderly individuals
living alone in their homes, falls can have severe consequences. These consequences …

Slip-induced falls are a growing health concern for older adults, and near-fall events are
associated with an increased risk of falling. To detect older adults at a high risk of slip …