Context: There has been a delay in the exploration of the benefits of deep learning for
human action and activity recognition applications. Within these fields, the detection of falls …

Human detection and activity recognition (HDAR) in videos plays an important role in
various real-life applications. Recently, object detection methods have been used to detect …

This paper presents a health condition monitoring solution that detects an elderly accidental
fall occurrence. The fall detection algorithm implements both accelerometer-based and …

The detection of unnatural falls among older adults living alone at home is an essential
requirement of the day. Injury after a fall is common, and immediate medication is often …

Over the last decade, there have been a lot of advances in the area of human posture
recognition. Among multiple approaches proposed to solve this problem, those based on …

In this study, a remote caretaking system has been developed using the plantar pressure
measurement feature. This system can be used by medical professionals for patients who …

This paper proposes the use of relative barometric pressure sensors for enhancing the
accuracy of fall detection based on a tri-axial accelerometer. In this study, a device …

Elderly people in our society may be visually challenged, physically weak and thus face
troubles during day-to-day life movement. Due to poor vision, often they fail to detect …

Falls are a frequent cause of injuries for patients or elderly people in wheelchairs. This may
cause serious injuries to person on wheel chair. The proposed fall detection system utilizes …

Despite the fact that numerous algorithms have been proposed in the literature, face
recognition in unconstrained scenes remains a challenging problem due to changes in …