Activity detection and classification using different sensor modalities have emerged as
revolutionary technology for real-time and autonomous monitoring in behaviour analysis …

The unprecedented non-contact, non-invasive, and privacy-preserving nature of radar
sensors has enabled various healthcare applications, including vital sign monitoring, fall …

Gesture recognition (GR) has many applications for human-computer interaction (HCI) in the
healthcare, home, and business arenas. However, the common techniques to realize …

This paper proposes a passive Doppler radar as a non-contact sensing method to capture
human body movements, recognize respiration, and physical activities in e-Health …

Detection of human presence and activity event classification are of importance to a variety
of context‐awareness applications such as e‐Healthcare, security, and low impact building …

As people get older, living at home can expose them to potentially dangerous situations
when performing everyday actions or simple tasks due to physical, sensory or cognitive …

When the mental acuity of older adults deteriorates (eg, dementia), irregular patterns
manifest within their activities of daily living (ADL), which renders an effective opportunity for …

Passive radio frequency (RF) sensing and monitoring of human daily activities in elderly
care homes is an emerging topic. Micro-Doppler radars are an appealing solution …

Activities of daily living (ADL) can be used to identify a person's daily routine which helps
health professionals to provide preventive healthcare. Classification of ADLs is therefore …

Voice identification is being increasingly adopted in various domains, including security
infrastructures, intelligent home systems, and personalised digital assistants. Notably, it …