Human fall is one of the very critical health issues, especially for elders and disabled people
living alone. The number of elder populations is increasing steadily worldwide. Therefore …

Falling is a major challenge faced by elderly and disabled people who live alone. They
therefore need reliable surveillance so they can be assisted in the event of a fall. An effective …

The widespread use of always-connected digital cameras in our everyday life has led to
increasing concerns about the users' privacy and security. How to develop privacy …

Railway stations are essential aspects of railway systems, and they play a vital role in public
daily life. Various types of AI technology have been utilised in many fields to ensure the …

The widespread use of smart computer vision systems in our personal spaces has led to an
increased consciousness about the privacy and security risks that these systems pose. On …

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 …

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 …

In security authentication systems, face recognition has become an emerging new trend.
Modern FR processes can detect whether the individual is real (live) or not through face …

In the elderly population, falls are one of the leading causes of fatal and non-fatal injuries.
Fall detection and early alarms play an important role in mitigating the negative effects of …

Fall detection in humans is critical in the prevention of life-threatening conditions. This is
especially important for elderly people who are living alone. Therefore, automatic fall …