Self-sustainable sensing systems composed of micro/nano sensors and nano-energy
harvesters contribute significantly to develo** the internet of things (IoT) systems. As one …

Worldwide demographic projections point to a progressively older population. This fact has
fostered research on Ambient Assisted Living, which includes developments on smart …

The insufficient trustworthiness of fog nodes in fog computing leads to new security and
privacy problems in communication between entities. Existing authentication schemes rely …

With the rapid development of artificial intelligence, the Internet of Things and big data, etc.,
the smart home enters the Era 3.0, which profoundly relies on user-based big data mining …

We propose a novel resident identification framework to identify residents in a multi-
occupant smart environment. The proposed framework employs a feature extraction model …

Aging population increase demands for solutions to help the solo-resident elderly live
independently. Unobtrusive data collection in a smart home environment can monitor and …

The rapid and ubiquitous deployment of Internet of Things (IoT) in smart homes has created
unprecedented opportunities to automatically extract environmental knowledge, awareness …

Anomaly detection in smart homes provides support to enhance the health and safety of
people who live alone. Compared to the previous studies done on this topic, less attention …

Internet of Things (IoT) products and cyber-physical systems (CPS) are being utilized in
almost every discipline and there continues to be significant increases in spending on …

This paper presents our real-time human activity recognition system that understands
human behavior using multimodal sensor data at multiple levels. Our system consists of a …